An Architecture for Integrated Intelligence in Urban Management using Cloud Computing

With the emergence of new methodologies and technologies it has now become possible to manage large amounts of environmental sensing data and apply new integrated computing models to acquire information intelligence. This paper advocates the application of cloud capacity to support the information, communication and decision making needs of a wide variety of stakeholders in the complex business of the management of urban and regional development. The complexity lies in the interactions and impacts embodied in the concept of the urban-ecosystem at various governance levels. This highlights the need for more effective integrated environmental management systems. This paper offers a user-orientated approach based on requirements for an effective management of the urban-ecosystem and the potential contributions that can be supported by the cloud computing community. Furthermore, the commonality of the influence of the drivers of change at the urban level offers the opportunity for the cloud computing community to develop generic solutions that can serve the needs of hundreds of cities from Europe and indeed globally.Comment: 6 pages, 3 figure

Internet of Things-aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

Traditional power grids are being transformed into Smart Grids (SGs) to address the issues in existing power system due to uni-directional information flow, energy wastage, growing energy demand, reliability and security. SGs offer bi-directional energy flow between service providers and consumers, involving power generation, transmission, distribution and utilization systems. SGs employ various devices for the monitoring, analysis and control of the grid, deployed at power plants, distribution centers and in consumers' premises in a very large number. Hence, an SG requires connectivity, automation and the tracking of such devices. This is achieved with the help of Internet of Things (IoT). IoT helps SG systems to support various network functions throughout the generation, transmission, distribution and consumption of energy by incorporating IoT devices (such as sensors, actuators and smart meters), as well as by providing the connectivity, automation and tracking for such devices. In this paper, we provide a comprehensive survey on IoT-aided SG systems, which includes the existing architectures, applications and prototypes of IoT-aided SG systems. This survey also highlights the open issues, challenges and future research directions for IoT-aided SG systems

On the Design of Ambient Intelligent Systems in the Context of Assistive Technologies

The design of Ambient Intelligent Systems (AISs) is discussed in the context of assistive technologies. The main issues include ubiquitous communications, context awareness, natural interactions and heterogeneity, which are analyzed using some examples. A layered architecture is proposed for heterogeneous sub-systems integration with three levels of interactions that may be used as a framework to design assistive AISs.Ministerio de Ciencia y Tecnología TIC2001-1868-C0

Character and Impact of Social Innovation in Higher Education.

This article offers a strategic multi-layered model for assessing the character and impact of social innovation in higher education connecting social and economic benefit. Whilst research to date has recognised the varying importance of the social and economic benefit of social and technological innovation, the literature is mostly silent on the contribution of purpose and strategy in achieving effective social innovation or how a regionally embedded university can maximise its impact in its community and the wider society. Whilst technological innovation is a critical component of future economic growth, social innovation is equally important in building social capital and in improving life chances. Governments have widely recognised that a university provides economic, environmental and cultural benefits to its community and, critically, should play a central role in re-balancing the economy of a community under stress and promoting growth in one that is prosperous. In the absence of well-documented, convincing examples of such re-balancing, this article offers a case study of The Hive, the first combined University and Public Library in Europe, an example of a strategic approach to social innovation in higher education that is bringing current and potential social and economic benefit to the community in which it is located. A measure of impact is proposed that is multi-layered and reflects the range of qualitative and quantitative impacts of social innovation. This paper has value to all those concerned to identify, plan and maximise the beneficial impact of social innovation in higher education institutions both on their economies and their communities

A targeted public: public services in fifteenth-century Ghent and Bruges

Though the phrase 'public services' is a nineteenth-century invention, which was supported by a developed rhetoric of political economy, this article shows that the concept, practice and supply of such services could also be found in the medieval city. It specifically analyses three areas of urban service provision: jurisprudence and legal security, infrastructure and finally health care and poor relief. Although the available sources tend to stress the involvement of municipal authorities in providing public services, it turns out that in fact the furnishing of services was highly multi-layered. In all three areas studied, a wide range of public and private institutions offered services to specific groups within late medieval urban society. In contrast to what the notion of 'public services' lets us presume, however, public services in the medieval city were not available to all inhabitants. Instead, the provision of services was usually quite restrictive, and targeted particular groups in society

The AI Bus architecture for distributed knowledge-based systems

The AI Bus architecture is layered, distributed object oriented framework developed to support the requirements of advanced technology programs for an order of magnitude improvement in software costs. The consequent need for highly autonomous computer systems, adaptable to new technology advances over a long lifespan, led to the design of an open architecture and toolbox for building large scale, robust, production quality systems. The AI Bus accommodates a mix of knowledge based and conventional components, running on heterogeneous, distributed real world and testbed environment. The concepts and design is described of the AI Bus architecture and its current implementation status as a Unix C++ library or reusable objects. Each high level semiautonomous agent process consists of a number of knowledge sources together with interagent communication mechanisms based on shared blackboards and message passing acquaintances. Standard interfaces and protocols are followed for combining and validating subsystems. Dynamic probes or demons provide an event driven means for providing active objects with shared access to resources, and each other, while not violating their security