Towards a re-engineering method for web services architectures

Recent developments in Web technologies – in particular through the Web services framework – have greatly enhanced the flexible and interoperable implementation of service-oriented software architectures. Many older Web-based and other distributed software systems will be re-engineered to a Web services-oriented platform. Using an advanced e-learning system as our case study, we investigate central aspects of a re-engineering approach for the Web services platform. Since our aim is to provide components of the legacy system also as services in the new platform, re-engineering to suit the new development paradigm is as important as re-engineering to suit the new architectural requirements

Robotic ubiquitous cognitive ecology for smart homes

Robotic ecologies are networks of heterogeneous robotic devices pervasively embedded in everyday environments, where they cooperate to perform complex tasks. While their potential makes them increasingly popular, one fundamental problem is how to make them both autonomous and adaptive, so as to reduce the amount of preparation, pre-programming and human supervision that they require in real world applications. The project RUBICON develops learning solutions which yield cheaper, adaptive and efficient coordination of robotic ecologies. The approach we pursue builds upon a unique combination of methods from cognitive robotics, machine learning, planning and agent- based control, and wireless sensor networks. This paper illustrates the innovations advanced by RUBICON in each of these fronts before describing how the resulting techniques have been integrated and applied to a smart home scenario. The resulting system is able to provide useful services and pro-actively assist the users in their activities. RUBICON learns through an incremental and progressive approach driven by the feed- back received from its own activities and from the user, while also self-organizing the manner in which it uses available sensors, actuators and other functional components in the process. This paper summarises some of the lessons learned by adopting such an approach and outlines promising directions for future work

A Survey on Virtualization of Wireless Sensor Networks

Wireless Sensor Networks (WSNs) are gaining tremendous importance thanks to their broad range of commercial applications such as in smart home automation, health-care and industrial automation. In these applications multi-vendor and heterogeneous sensor nodes are deployed. Due to strict administrative control over the specific WSN domains, communication barriers, conflicting goals and the economic interests of different WSN sensor node vendors, it is difficult to introduce a large scale federated WSN. By allowing heterogeneous sensor nodes in WSNs to coexist on a shared physical sensor substrate, virtualization in sensor network may provide flexibility, cost effective solutions, promote diversity, ensure security and increase manageability. This paper surveys the novel approach of using the large scale federated WSN resources in a sensor virtualization environment. Our focus in this paper is to introduce a few design goals, the challenges and opportunities of research in the field of sensor network virtualization as well as to illustrate a current status of research in this field. This paper also presents a wide array of state-of-the art projects related to sensor network virtualization

DRIVER Technology Watch Report

This report is part of the Discovery Workpackage (WP4) and is the third report out of four deliverables. The objective of this report is to give an overview of the latest technical developments in the world of digital repositories, digital libraries and beyond, in order to serve as theoretical and practical input for the technical DRIVER developments, especially those focused on enhanced publications. This report consists of two main parts, one part focuses on interoperability standards for enhanced publications, the other part consists of three subchapters, which give a landscape picture of current and surfacing technologies and communities crucial to DRIVER. These three subchapters contain the GRID, CRIS and LTP communities and technologies. Every chapter contains a theoretical explanation, followed by case studies and the outcomes and opportunities for DRIVER in this field

Evidence-informed in-service professional development to support KEIS providers\u27 sustained fidelity to caregiver coaching.

Part C early intervention (EI) providers are expected to implement family-centered, capacity-building practices with the increasing number of caregivers of eligible infants and toddlers with or at risk of developmental delays or disabilities. There is a current knowledge to practice gap in service provision, establishing the need for evidence-informed professional development. The Coaching in Early Intervention Training and Mentorship Program (CEITMP) was developed to expand the professional knowledge and skills of Kentucky’s cross-disciplinary (i.e., developmental interventionists, occupational therapists, physical therapists, and speech-language pathologists) EI providers to coach caregivers to promote their increased confidence and competence to support their child’s development and learning. The CEITMP embedded adult learning principles and included professional development specialists’ supporting training and mentorship for EI providers over a 32-week period by introducing and illustrating strength-based caregiver coaching, offering performance feedback on providers’ video recorded EI visits and self-assessments, facilitating collaborative teaming, and providing follow-up to support sustained fidelity to caregiver coaching practices. Active Implementation Frameworks were applied to retrospectively investigate implementation and intervention data from the first four years of the statewide, multi-component training and mentorship program. Results indicated the CEITMP was implemented with good fidelity and was key in supporting EI providers to complete the program successfully; EI providers demonstrated the ability to use and sustain caregiver coaching with fidelity; and aggregate state data showed positive child and family outcomes. These results emphasize the significance of ensuring both intervention and implementation fidelity to promote intended outcomes

Do We Need Help Using Yelp? Regulating Advertising on Mediated Reputation Systems

Yelp, Angie’s List, Avvo, and similar entities enable consumers to access an incredibly useful trove of information about peer experiences with businesses and their goods and services. These “mediated reputation systems,” gatherers and disseminators of consumer peer opinions, are more trusted by consumers than traditional commercial channels. They are omnipresent, carried everywhere on mobile devices, and used by consumers ready to transact. Though this information is valuable, a troubling conflict emerges in its presentation. Most of these reputation platforms rely heavily on advertising sales to support their business models. This reliance compels these entities to display persuasive advertising right along with their presentation of authentic peer information. Consumers expecting to access this authentic peer information must also confront a persuasive message. The revenue lifeblood for these platforms comes from the very businesses under peer review. This Article argues that the power of peer information provides an exceptionally credible context for persuasive advertising. Accordingly, advertising on reputation platforms should trigger more rigorous regulation in the form of disclosure requirements and prioritized enforcement

Adaptive Middleware for Resource-Constrained Mobile Ad Hoc and Wireless Sensor Networks

Mobile ad hoc networks: MANETs) and wireless sensor networks: WSNs) are two recently-developed technologies that uniquely function without fixed infrastructure support, and sense at scales, resolutions, and durations previously not possible. While both offer great potential in many applications, developing software for these types of networks is extremely difficult, preventing their wide-spread use. Three primary challenges are: 1) the high level of dynamics within the network in terms of changing wireless links and node hardware configurations,: 2) the wide variety of hardware present in these networks, and: 3) the extremely limited computational and energy resources available. Until now, the burden of handling these issues was put on the software application developer. This dissertation presents three novel programming models and middleware systems that address these challenges: Limone, Agilla, and Servilla. Limone reliably handles high levels of dynamics within MANETs. It does this through lightweight coordination primitives that make minimal assumptions about network connectivity. Agilla enables self-adaptive WSN applications via the integration of mobile agent and tuple space programming models, which is critical given the continuously changing network. It is the first system to successfully demonstrate the feasibility of using mobile agents and tuple spaces within WSNs. Servilla addresses the challenges that arise from WSN hardware heterogeneity using principles of Service-Oriented Computing: SOC). It is the first system to successfully implement the entire SOC model within WSNs and uniquely tailors it to the WSN domain by making it energy-aware and adaptive. The efficacies of the above three systems are demonstrated through implementation, micro-benchmarks, and the evaluation of several real-world applications including Universal Remote, Fire Detection and Tracking, Structural Health Monitoring, and Medical Patient Monitoring

How Blockchain technology can monetize new music ventures: an examination of new business models

The paper examines how blockchain technology is disrupting business models for new venture finance. The role of blockchain technology in the evolution of new business models to monetize the creative economy is explored, by means of a case study approach. The focus is on the recorded music industry, which is in the vanguard of new forms of intermediation and financialization. There is a particular focus on emerging artists. The paper provides novel case study insights and concludes by considering how further research can contribute to building a theory of technology-driven business models which apply to the development on the one hand to new forms of financial intermediaries, more correctly referred to as ‘infomediaries’, and on the other hand to new forms of direct monetization by artists

Open Access in UCL: a new paradigm for London's Global University in research support

Open Access provides an opportunity for researchers to disseminate their research globally, but it comes with challenges. This article looks at the various ways in which UCL (University College London) has addressed those challenges, by investing in Open Access activities at the university