We are entering a new age in the evolution of computer systems, in which pervasive computing technologies seamlessly interact with human users [Satyanarayanan, 2001;Weiser, 1991]. These technologies serve people in their everyday lives at home and work by functioning invisibly in the background. They free them from tedious routine tasks and create a smart environment around them [Cook and Das, 2004]. In the influential article ââ¬ÅThe Computer for the 21st Centuryââ¬?, Mark Weiser described smart environments as a ââ¬Åphysical world that is richly and invisibly interwoven with sensors, actuators, displays, and computational elements, embedded seamlessly in the everyday objects of our lives, and connected through a continuous networkââ¬? [Weiser, 1991]. For example, this would be an intelligent building, or a smart traffic control system. Now, since such smart environments need information about their surroundings, they rely first and foremost on sensory data from the real world. More accurately, this data is provided by wireless sensor networks, which are responsible for sensing as well as for information collecting [Lewis, 2004]. Thus, improving the efficiency of these tasks in the networks of wireless sensors is of necessity. Given this, we will focus on efficient long-term (e.g. lifetime-long) information collection of these networks, using learning-theory to tackle this challenge.
The JISC Funded Faroes Project has been working to reinvent Teaching and Learning Repositories learning from the best practices of Web 2.0. They have successfully deployed an innovative repository called The Language Box that acts as a community repository for Language teachers. The Faroes team has discovered that more sophisticated profile pages give users a home within the repository, act as a focus for their work, and help them feel more ownership of the work that they deposit. This increases the visibility of the repository and encourages more deposits.
The allAboutMePrints project will build on the work of Faroes to make Sophisticated Profile pages available to any repository based on the EPrints Project. The project will:
The Live Data features and widgets will be developed in collaboration with the existing Language Box community, and will be of deployed to the Language Box as well as being made available for installation in repositories in other institutions.
The OneShare project will build on the existing EdShare Southampton and Language Box repositories in order to create a Deposit Once methodology, where students and practitioners can use a Virtual Learning Environment, Community or Institutional Repository as part of single system, knowing that a deposit made in to any one of those systems will be propagated to the others.
To achieve this three challenges need to be overcome:
The OneShare project will tackle these three challenges, using the Language Box and EdShare Southampton as exemplars to develop guidance materials, EPrints software extensions, and a deposit once architecture that can be repurposed at other institutions. Our objective is for the Deposit Once methodology to help teaching and learning repositories gain greater acceptance with users and institutions across the UK, supporting efforts to allow teachers and lecturers to share their materials, and create a public library of open content.
Investigated long-term preservation for institutional repositories (IRs), by identifying preservation services in conjunction with specialists, such as national libraries and archives, and building support for services into popular repository software, in this case EPrints. The project moved towards a powerful and flexible framework based on granular Web services and providers. An exemplar service produced by the project was PRONOM-ROAR, which allies a digital file format identification service, PRONOM from the National Archives, with a Web registry of repositories (ROAR).
This project was superseded by the Preserv2 project.
A JISC project to enable a diverse range of digital content presented by institutional repositories - research papers, science data, arts, teaching materials and theses - to be managed effectively today, tomorrow and beyond.
The project will build on the work begun in the Preserv and Preserv2 projects.
This project aims to develop algorithms so that when network failures mean that nodes cannot communicate their data to the base station the gathered sensor readings can be backed up to other nodes. These backup copies can then be used to recover the data in the event of the original sensing node failing.
This research programme is aimed to develop a new generation of micro/nano thermoelectric generator for power harvesting applications by using the latest submicron micromachining processes. Such a device is intended initially for use in power harvesting applications and will be demonstrated powering a wireless sensor node from modest temperature gradients at ambient room temperature.
This research programme is aimed to develop a new generation of micro/nano thermoelectric generator for power harvesting applications by using the latest submicron micromachining processes. Such a device is intended initially for use in power harvesting applications and will be demonstrated powering a wireless sensor node from modest temperature gradients at ambient room temperature.
This research programme is aimed to develop a new generation of micro/nano thermoelectric generator for power harvesting applications by using the latest submicron micromachining processes. Such a device is intended initially for use in power harvesting applications and will be demonstrated powering a wireless sensor node from modest temperature gradients at ambient room temperature.