The Electronic Laboratory Workbench (eLabBench) is an interactive laboratory workbench integrating wet-lab biology experimentation with digital bioinformatics analysis .
Continue reading “eLabBench – The Electronic Laboratory Workbench”
Technical University of Denmark
The Electronic Laboratory Workbench (eLabBench) is an interactive laboratory workbench integrating wet-lab biology experimentation with digital bioinformatics analysis .
Continue reading “eLabBench – The Electronic Laboratory Workbench”
The main challenges with existing Grid Computing approaches is that they require high technical knowledge and dedicated hardware and software resources. For these reasons, the deployment and operational cost of such grid systems is substantial, preventing their adoption and direct use by non-technical organizations and users, such as biological researchers in a small university lab. Only a relatively few dedicated scientists use the classic grids like Globus; and setting up projects in volunteer computing grids like BOINC is rather centralized and require running a dedicated server infrastrucure.
In contrast to these large-scale grid infrastructures, our goal has been to create a distributed and ad-hoc grid computing platform for scientist to use as part of their work in the biology laboratory.
In general, most contemporary computing (hardware, operating systems, and applications) lack support for multitasking, mobility and collaboration across multiple devices. ReticularSpaces was designed as a multi-device smartspace technology for collocated collaboration.
It consists of a runtime infrastructure for ad-hoc discovery and integration of collocated devices, and a novel user interface technology for interacting with touch-enabled interactive displays ranging from small personal digital assistants (PDAs) to very large wall-based and tabletop displays.
The “Intelligent ContextAware Systems for Healthcare, Wellness, and Assisted Living” (iCareNet for short) project was an EU funded Initial Training Network (ITN). iCareNet focused on healthcare, wellness, and assisted living (HWA) applications and made a decisive contribution towards solutions, leveraged through an interdisciplinary perspective ranging from sensing and sensor integration, to human-computer interaction and social factors involved in the deployment of context-aware applications.
The AWARE architecture was built as part of the AWARE project. The architecture was a general-purpose architecture for maintaining ‘context-based social awareness’ within a workplace . It was designed to support the safety- and time-critical work on a surgical department and supported two proof-of-concept end-user applications; the AwarePhone and AwareMedia systems .
Continue reading “AWARE Architecture with AwarePhone and AwareMedia Applications”
The activity-based computing project researched pervasive computing support for clinical hospital work. The aim was to design and evaluate technologies, which has the potential to support the mobile, collaborative, disruptive, and time-critical use of heterogeneous embedded device and computers in a hospital.
Maintaining social awareness of the working context of fellow co-workers is crucial to successful cooperation. For mobile, non co-located workers, however, this social awareness is hard to maintain. In the iHospital project we have developed the concept of Context-Based Workplace Awareness , which denotes how context-aware computing can be used to facilitate people with an awareness of the unfolding of work in a hospital.
Over a long period, I have been investigating the relationship between usability and security. More specifically, I have investigated issues related to user authentication. The background for this research is observational studies on hospitals, which revealed that clinicians spend lots of time and effort on getting access to electronic medical systems . Continue reading “Security, Usability, and User Authentication”
Context-awareness covers the idea of computers reacting upon, and adapting to the user’s context, e.g. location, time of day, the specific task the user is engaged in, etc. Context is sensed by tracking location of persons and objects, through sensors in the environment, and by trying to understand what the user is doing, by e.g. looking in his or her calendar.