Dynamic Mashup Interfaces for Information Systems using Widgets-as-a-Service

Web Information Systems intend to adapt to the users’ preferences as new data available on the network. In this regard, the composition and reuse of services which are involved in a web application is an interesting research topic, since these techniques pursue the dynamic construction of applications that can be adapted at design or run time. As for the visualization of these applications, web user interfaces play a key role, serving as a connection point between users and the rest of the system. This article proposes an architecture for specification, storage, management and visualization of components, built from widgets complying with the W3C recommendation, for making web user interfaces. We follow a service-based approach for the interface deployment and communication management, introducing the concept of Widgets-as-a-Service (WaaS). To illustrate this proposal, an example of widget-based Web Information System is shown

User-centered visual analysis using a hybrid reasoning architecture for intensive care units

One problem pertaining to Intensive Care Unit information systems is that, in some cases, a very dense display of data can result. To ensure the overview and readability of the increasing volumes of data, some special features are required (e.g., data prioritization, clustering, and selection mechanisms) with the application of analytical methods (e.g., temporal data abstraction, principal component analysis, and detection of events). This paper addresses the problem of improving the integration of the visual and analytical methods applied to medical monitoring systems. We present a knowledge- and machine learning-based approach to support the knowledge discovery process with appropriate analytical and visual methods. Its potential benefit to the development of user interfaces for intelligent monitors that can assist with the detection and explanation of new, potentially threatening medical events. The proposed hybrid reasoning architecture provides an interactive graphical user interface to adjust the parameters of the analytical methods based on the users' task at hand. The action sequences performed on the graphical user interface by the user are consolidated in a dynamic knowledge base with specific hybrid reasoning that integrates symbolic and connectionist approaches. These sequences of expert knowledge acquisition can be very efficient for making easier knowledge emergence during a similar experience and positively impact the monitoring of critical situations. The provided graphical user interface incorporating a user-centered visual analysis is exploited to facilitate the natural and effective representation of clinical information for patient care

A Component-Based Dataflow Framework for Simulation and Visualization

Reuse in the context of scientific simulation applications has mostly taken the form of procedural or object-oriented libraries. End users of such systems are however often non software experts needing very simple, possibly interactive ways to build applications from domain-specific components and to control their parameters. Integrating independently written (existing or new) code as components should ideally be a simple, possibly automated black-box process. We propose a dataflow-based component framework for simulation and visualization in which large existing C++ application libraries were easily integrated as interactively manipulable components by using a meta-layer object-oriented component abstraction. The path from user-level requirements to the framework design and implementation decisions is outlined

Design and Implementation of a Mars Mission Analysis Software

This project covers the entire design, construction, and release of a software artifact written in Python, which features a graphical user interface, and a MATLAB astrodynamics core. The software is to be used on mission design tasks, mainly focused on sustained human interplanetary mission design