Academic literature on the topic 'Internet of Objects'

This is a practice-based research thesis situated in the research context of the 'Internet of Things', and critiques contemporary theoretical discourse related to the 21st century turn of connecting everyday objects to the World Wide Web. In the last decade we have seen the 'Internet of Things' articulated predominately through three commercial design fictions, each a response to the shift towards pervasive", "ubiquitous" (Weiser 1991), or "context-ware" (Schilit, 1994) computing; where we inhabit spaces with objects capable of sensing, recording and relaying data about themselves and their environments. Through reflecting upon these existing design fictions, through a new combination of theories and practice-based research that embodies them, this thesis proposes a recovery to understanding the role of objects in the 'Internet of Things', which this author believes has been lost since its conception in the mid 2000s. In 2000, HP Labs presented Cooltown, which addressed what HP identified as the 'convergence of Web technology, wireless networks, and portable client devices provides'. Cooltown's primary discourse was to provide 'new design opportunities for computer/communications systems, through an infrastructure to support "web presence" for people, places and things.' (Anders 1998; Barton & Kindberg 2002). IBM's Smarter Planet followed this in 2008 and shifted importance from the act of connecting objects to understanding the value of data as it flows between these objects in a network (Castells 1996; Sterling 2005; Latour 2005). Finally, Cisco presented The Internet of Everything in 2012 and moved the argument on one stage further, identifying that the importance of connected objects lies in the sum of their communication across silos of networks, where data can provide potential insight from which you can improve services (Bleecker 2006). Despite these design and theoretical fictions, the affordances of the Internet of Things first proposed in the mid 2000s has regressed from data to product, driven largely by unchanged discourse argued by those designers at its conception and also the enticement of being the next Google acquisition; instead of pigeons reporting on the environmental conditions of a city (Da Costa 2006), we have thermostats controllable from your smartphone (www.scottishpower.co.uk/connect). Therefore the aim of this thesis is to re-examine the initial potential of the Internet of Things, which is tested through a series of design interventions as research for art and design, (produced as part of my EPSRC funded doctoral studies on the Tales of Things and Electronic Memory research project and also whilst employed as a research assistant on two EPSRC funded research programmes of work Sixth Sense Transport, and The Connected High Street), to understand how we use data to allow an alternative discourse to emerge in order to recover the role of a networked object, rather than producing prototypical systems.

Thesis (M.S.)--University of Florida, 2001.<br>Title from first page of PDF file. Document formatted into pages; contains viii, 30 p.; also contains graphics. Vita. Includes bibliographical references (p. 29).

The prevalent visions of ambient intelligence leverage natural interactions between users and available services in a smart space. In recent years, we have seen a huge interest from industry and academia in using handheld devices to interact with things, places and people in the real world. To facilitate such interactions, things are usually annotated with RFID tags or visual markers. These tags or markers are read by a handheld device equipped with an integrated RFID reader or a camera, in order to fetch related information and initiate further actions. Interacting with the Internet of Things (IoT) in a real environment has become increasingly desirable and feasible. This thesis contributes to the domain of physical interactions with IoT; however, we use a spatial-geometric approach instead of RFID or marker based solutions. Using this approach, for example, a user can point his/her handheld device to an annotated thing, from a distance, for the purpose of interaction. The pointing direction and location is determined based on the fusion of the mobile position and of the accelerometer data of the handheld device. To annotate things, their geometric coordinates are specified and related information or services are associated to them. In this thesis, we present a comprehensive and extensible framework to integrate various physical interactions with IoT into multimedia applications. The framework supports the implementations of pointMe, touchMe, and context-aware based interactions with geometrically annotated IoT. We define specific methods and practices that can be incorporated in order to build the interactions. We realize smart home, atlas learning, presentation interaction, smart haptic interaction, and learning based video interaction game prototypes in order to perform experiments and demonstrate the applicability and potential of the proposed geometric based annotation approach. In the analysis of the interaction techniques of the prototypes, we present the advantages and disadvantages of the geometric based annotation of IoT as seen by potential users, in comparison to RFID tags or visual markers based approaches.

Les communications sans fil, déjà très présentes dans notre société, soulèvent de nouveaux défis dans le cadre du déploiement de l'Internet des Objets (IoT) tels que le développement de nouvelles méthodes de décodage au niveau de la couche physique permettant d'assurer de bonnes performances pour la transmission de messages courts. En particulier, les codes LDPC (Low Density Parity Check) sont une famille de codes correcteurs d'erreurs très connus pour leurs excellentes performances asymptotiques lorsqu'ils sont décodés par l'algorithme de propagation de croyance (BP, pour Belief Propagation, en anglais). Cependant, la capacité de correction de l'algorithme BP se retrouve fortement dégradée pour les codes LDPC courts. Ainsi, cette thèse porte sur l'amélioration du décodage des codes LDPC courts, grâce notamment à des outils d'apprentissage automatique, tels que les réseaux de neurones.Après avoir introduit les notions et caractéristiques des codes LDPC et du décodage BP,ainsi que la modélisation du BP par un réseau de neurones récurrent (BP-Recurrent NeuralNetwork ou BP-RNN), nous développons de nouvelles méthodes d'entraînement afin de spécialiser le décodeur BP-RNN sur des motifs d'erreurs partageant des propriétés structurelles similaires. Ces approches de spécialisation sont associées à des architectures de décodage composées de plusieurs BP-RNNs spécialisés, où chaque BP-RNN est entraîné à corriger un type différent de motif d'erreurs (diversité de décodage). Nous nous intéressons ensuite au post-traitement du BP (ou du BP-RNN) avec un décodage par statistiques ordonnées (Ordered Statistics Decoding ou OSD) afin de se rapprocher de la performance du décodage par maximum de vraisemblance. Pour améliorer les performances du post-traitement, nous optimisons son entrée grâce à un neurone simple, puis nous introduisons une stratégie de décodage pour un post-traitement par OSD multiples. Il est alors montré que cette stratégie tire efficacement partie de la diversité de ses entrées, fournissant ainsi un moyen efficace de combler l'écart avec le décodage par maximum de vraisemblance<br>Wireless communications, already very present in our society, still raise new challengesas part of the deployment of the Internet of Things (IoT) such as the development of newdecoding methods at the physical layer ensuring good performance for the transmission ofshort messages. In particular, Low Density Parity Check (LDPC) codes are a family of errorcorrecting codes well-known for their excellent asymptotic error correction performanceunder iterative Belief Propagation (BP) decoding. However, the error correcting capacity ofthe BP algorithm is severely deteriorated for short LDPC codes. Thus, this thesis focuses on improving the decoding of short LDPC codes, thanks in particular to machine learning tools such as neural networks.After introducing the notions and characteristics of LDPC codes and BP decoding, aswell as the modeling of the BP algorithm by a Recurrent Neural Network (BP-RecurrentNeural Network or BP-RNN), we develop new training methods specializing the BP-RNN ondecoding error events sharing similar structural properties. These specialization approaches are subsequently associated decoding architectures composed of several specialized BP-RNNs, where each BP-RNN is trained to decode a specific kind of error events (decoding diversity). Secondly, we are interested in the post-processing of the BP (or the BP-RNN) with an Ordered Statistics Decoding (OSD) in order to close the gap the maximum likelihood (ML) decoding performance. To improve the post-processing performance, we optimize its input thanks to a single neuron and we introduce a multiple OSD post-processing decoding strategy. We then show that this strategy effectively takes advantage of the diversity of its inputs, thus providing an effective way to close the gap with ML decoding

Internet intermediaries facilitate a wide range of conduct using services supplied over the layered architecture of modern communications networks. Members of this class include search engines, social networks, internet service providers, website operators, hosts, and payment gateways, which together exert a critical and growing influence upon national and global economies, governments and cultures. This research examines who should face legal responsibility when wrongdoers utilise these services tortiously to cause harm to others. It has three parts. Part 1 seeks to understand the nature of an intermediary and how its liability differs from the liability of primary defendants. It classifies intermediaries according to a new layered, functional taxonomy and argues that many instances of secondary liability in English private law reflect shared features and underlying policies, including optimal loss-avoidance and derivative liability premised on an assumption of responsibility. Part 2 analyses intermediaries’ monetary liability for secondary wrongdoing in two areas of English law: defamation and copyright. It traces the historical evolution of these doctrines at successive junctures in communications technology, before identifying and defending limits on that liability which derive from three main sources: (i) in-built limits contained in definitions of secondary wrongdoing; (ii) European safe harbours and general limits on remedies; and (iii) statutory defences and exceptions. Part 3 examines intermediaries’ non-monetary liability, in particular their obligations to disclose information about alleged primary wrongdoers and to cease facilitating wrongdoing where it is necessary and proportionate to do so. It proposes a new suite of non-facilitation remedies designed to restrict access to tortious internet materials, remove such materials from search engines, and reduce the profitability of wrongdoing. It concludes with several recommendations to improve the effectiveness and proportionality of remedies by reference to considerations of architecture, anonymity, efficient procedures, and fundamental rights.

Set in the relatively new and fast developing field of investigation known as Internet of Things (IoT), this research starts by looking at the lack of critical and conceptual reflection on the area. With a main research question that challenges the underlying concepts of the IoT, the study develops a performative design framework to critique the field of investigation. The main corpus consists of: 1. speculative inquiry into the ontological dualisms of ‘objects’ and ‘things’ and the emerging social dimension of humans and non-humans; 2. the identification of an ontological-performative model based on the idea of Props; 3. the entanglement of theory and practice to construct a performative design framework, called the Internet of Props, which includes: an enabling platform (Smarter Planet Lab) and a set of design strategies (Transactional Props) to demonstrate and evaluate this model and framework; 4. a combined-evaluation conversational analysis methodology that assesses the performativity of the setting and the Props, through linguistic and socio-behavioural studies. Inspired by the concepts of ontological theatre, the entanglement of humans and non-humans, and the Internet of People; the IoT is imagined and performed in a theory-driven, practice-based investigation of the Internet of Props, which aims to bring new theoretical and practical knowledge for the future of the IoT.

This thesis is an anthropological study of Internet sexual offending, more specifically the viewing of child abuse media. It is based on 17 months of participant-observation in UK group programs for individuals who had downloaded illegal child abuse media, semi-structured interviews with participants, program staff, and police, and staff focus groups. Through engaging directly with offenders and those managing them, it provides an in-depth, qualitative understanding of how Internet use and perceptions of online spaces play a key role in Internet sexual offending, while also asking broader questions about online sociality, morality, and effects on normative behaviour. The central argument posits that in moving beyond commonplace explanations for Internet offending, more attention must be given to Internet use, perceptions and constructions of online spaces, and effects on social norms to explain this phenomenon. It then follows to suggest that for some offenders, these elements can be instrumental in their sexualization of children and choice to view abusive media. The thesis specifically explores why and how some people in the UK engage with illegal child abuse media, with particular attention to notions of risk, childhood, morality, and the Internet. Employing Foucauldian and neo-Foucauldian theory, anthropology of the Internet, and constructionist theories of childhood, focus is placed on multiple areas: the potential social, emotional, sexual, and Internet-specific factors associated with offending; participants' relationships with the Internet and constructions of online spaces; participants' perceptions of childhood and children online and offline; and, societal and institutional efforts to respond to the above, including the larger justice system and fieldwork group program. The general research areas are social science of the Internet, childhood studies, human sexuality, group therapeutic processes, policy and law, and research methodology and ethics.

Este estudo pretende disponibilizar diretrizes para uma linha de trabalho conjunto entre as áreas de estudo do Design, da Interação Humano-Computador (IHC) e da Pedagogia. A carência de pesquisas que envolvam estas três áreas revela a falta de critérios adequadamente definidos para a construção de suportes educacionais a distância. Esta investigação analisa a atuação do designer como potencializador da informação e da comunicação nos ambientes de aprendizagem mediados pela internet. Nos estudos realizados na presente dissertação, problemas de comunicação e de informação foram considerados fatores essenciais na configuração de ambientes educacionais. Esta investigação trouxe à tona a necessidade de se considerar o uso de ferramentas de Design na configuração de ambientes para educação a distância, principalmente neste momento em que a tecnologia da informação está transformando sensivelmente o entorno e as relações sociais dos indivíduos. A presente pesquisa apresenta um Guia para a análise do Design de Interface com o objetivo de testar aspectos de usabilidade em ambiente de aprendizagem a distância, à luz do Design, da IHC e da Pedagogia Com tais procedimentos visa-se o desenvolvimento de interfaces centradas no usuário e a melhoria dos padrões de ambientes educacionais, tornando o aprendizado a distância mais produtivo e interativo. Para a validação do guia, objeto da presente dissertação, foi utilizado o ambiente Oficina Projeto Didático, que é oferecida pela CCEAD, Coordenação Central de Educação a Distância da PUC-Rio. Este, utiliza o LMS (Learning Management System)denominado Aulanet.<br>This study intends to put available a plan of direction to a job line connecting of three areas: Graphic Design Studies, Human-Computer Interaction (HCI) and Pedagogy. The lack of researches that involves these three areas reveals the lack of suitably defined criteria to build distance learning support. This investigation analyses the designer performance as an area that can make easy to understand the information and the communication in the learning environment mediated through internet. Information and communication problems were considered essential factors in the educational environment configuration for the studies done in this present dissertation. This investigation brought up the necessity to consider the use of Design tools to configurate distance learning environments, specially in this moment where information technology is sensibly transforming individual`s enviroments and the social relationship. This research presents a Guide to Interface Design s analysis, the goal is to test usability aspects in distance learning environments, under the focus of Design, Human-Computer Interaction and Pedagogy. Such procedures intend to develop the interfaces focused on the user and enhance educational environments standards, making the distance learning more productive and interactive. The Guide validation, object of this present dissertation, was done with the use of the environment Oficina Projeto Didático, offered by CCEAD (Coordenação Central de Educação a Distância da PUC-Rio, which uses LMS (Learning Management System) denominated Aulanet.