A Web2.0 Strategy for the Collaborative Analysis of Complex Bioimages

Loyek C, Kölling J, Langenkämper D, Niehaus K, Nattkemper TW. A Web2.0 Strategy for the Collaborative Analysis of Complex Bioimages. In: Gama J, Bradley E, Hollmén J, eds. Advances in Intelligent Data Analysis X: 10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings. Lecture Notes in Computer Science. Vol 7014. Berlin, Heidelberg: Springer; 2011: 258-269

An IoT-based solution for monitoring a fleet of educational buildings focusing on energy efficiency

Raising awareness among young people and changing their behaviour and habits concerning energy usage iskey to achieving sustained energy saving. Additionally, young people are very sensitive to environmental protection so raising awareness among children is much easier than with any other group of citizens. This work examinesways to create an innovative Information & Communication Technologies (ICT) ecosystem (including web-based, mobile, social and sensing elements) tailored specifically for school environments, taking into account both theusers (faculty, staff, students, parents) and school buildings, thus motivating and supporting young citizenś behavioural change to achieve greater energy efficiency. A mixture of open-source IoT hardware and proprietary platforms on the infrastructure level, are currently being utilized for monitoring a fleet of 18 educational buildings across 3 countries, comprising over 700 IoT monitoring points. Hereon presented is the system's high-level architecture, as well as several aspects of its implementation, related to the application domain of educational building monitoring and energy efficiency. The system is developed based on open-source technologies andservices in order to make it capable of providing open IT-infrastructure and support from different commercial hardware/sensor vendors as well as open-source solutions. The system presented can be used to develop and offer newapp-based solutions that can be used either for educational purposes or for managing the energy efficiency ofthebuilding. The system is replicable and adaptable to settings that may be different than the scenarios envisionedhere (e.g., targeting different climate zones), different IT infrastructures and can be easily extended to accommodate integration with other systems. The overall performance of the system is evaluated in real-world environment in terms of scalability, responsiveness and simplicity

Updating freeTribe to Support Efficient Synchronous Awareness in the Web Context

Abstract: The research field of Computer-Supported Cooperative Work has been reflected fundamentally in theoretical contributions. This contributions have constitute the base to carry out several intents to facilitate the work of the collaborative systems developers, however, current tool-kits, APIs or class libraries only eliminate partially the gap between the technical aspects that impose the information technology and the stressed social character of the process of collaboration in the World Wide Web. In this paper is presented the framework freeTribe, which involve the domain of the distributed groupwares leaning on the Cooperative Model of the methodology AMENITIES, in the middleware platform ICE and in RIA technologies; freeTribe has been designed as a software framework, to maximize its reusability and adaptability with a minimal programming effort. Support for synchronous group tasks in the Web context is increasingly recognized as a desideratum for collaborative systems and several tools have emerged recently that help groups of people with the same goals to work together, but many issues for these collaborative systems remain under studied. We identified synchronous awareness as one of these issues in collaborative systems, and updated freeTribe with four well-accepted kinds of awareness (group awareness, workspace awareness, contextual awareness, and peripheral awareness) by the community focusing our interest in its synchronous mechanism for efficient interaction in Web contexts.Keywords: computer-supported cooperative work, groupware, synchronous awareness.

BioIMAX : a Web2.0 approach to visual data mining in bioimage data

Loyek C. BioIMAX : a Web2.0 approach to visual data mining in bioimage data. Bielefeld: Universität Bielefeld; 2012

Development of an Internet-Based Chronic Disease Self-Management System

Patient self-management programs and information systems that support them can improve the quality of healthcare. Flaws in user experience reduce the willingness of patients to adopt such systems. To explore how emerging technology such as rich Internet applications can be used to address the usability issues of personal health information systems, we developed a health self-management application that is based on an open-source framework. In this work we present the architecture of the system, discuss the issues we faced and lessons we learned while developing it. This work can help researchers and practitioners in evaluating approaches towards developing new generation of personal health solutions. Furthermore, this work serves as a basis for implementing a feature-rich system that can improve chronic disease self-management