Publications
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Application of remote sensing and geographical information systems in flood management : a review Ghent University
Floods are one of the most widely distributed hazards around the world and their management is an important issue of concern among all the stakeholders. The aim of this review is to synthesize the state of art literature in the application of Geographical Information Systems (GIS) and Remote Sensing (RS) techniques in all the flood management stages (pre-flood, during flood and post-flood stages). Flood types and common concepts in flood ...
Distributed sliding-mode cloud predictive formation control of networked multi-agent systems with application to air-bearing spacecraft simulators Ghent University
This paper investigates the application of distributed sliding-mode cloud predictive control scheme in networked multi-agent control systems (NMACS). A sliding-mode cloud predictive control (SMCPC) scheme based on the cloud control system is designed. Combining the advantages of variable structure control (VSC) of sliding-mode control(SMC) and the advantages of cloud predictive control (CPC) in handling network delays, the network delay is ...
Integrating information systems using normalized systems theory University of Antwerp
New technical and business opportunities lead to the adoption of new information systems. Integrating these new systems with the existing application landscape poses many challenges, especially when legacy systems are involved. These systems may rely on completely different architectures or assumptions regarding functionality. Normalized Systems Theory addresses this issue by stating that information systems should behave as stable systems. It ...
Novel Applications Integrate Location and Context Information Hasselt University
New applications and services aim to adapt themselves to the user's context and thus require platforms that can collect, distribute, and exchange contextual information. The Context-Aware Service Platform (CASP) can help, as exemplified here in three different use cases.
Evaluating accounting information systems that support multiple GAAP reporting using normalized systems theory University of Antwerp
This paper uses a mixed methods approach of design science and case study research to evaluate structures of Accounting Information Systems (AIS) that report in multiple Generally Accepted Accounting Principles (GAAP), using Normalized Systems Theory (NST). To comply with regulation, many companies need to apply multiple GAAP. In case studies we identify AIS structures for multiple GAAP reporting. AIS need to cope with changes in GAAP and ...
Upgrading geographic information systems to spatial decision support systems KU Leuven
A GIS is capable of identifying a set of land units meeting positional, temporal, topological and multiple on-site attribute criteria. Based on the combination of its generic analytical functionalities, a GIS can also be used to rank the alternative land units and propose the best or worst ones in terms of the non-weighted or weighted criteria. More advanced multi-criteria decision methods are however not easily incorporated in the GIS-framework ...
Upgrading geographic information systems to spatio-temporal decision support systems KU Leuven
A GIS is capable of identifying a set of land units meeting positional, temporal, topological and multiple on-site attribute criteria. Based on the combination of its generic analytical functionalities, a GIS can also be used to rank the alternative land units and propose the best or worst ones in terms of the non-weighted or weighted criteria. More advanced multi-criteria decision methods are however not easily incorporated in the GIS-framework ...
Generalized eigenvalue passivity assessment of descriptor systems with applications to symmetric and singular systems Ghent University
Measuring data quality in information systems research Ghent University
Although contemporary research relies to a large extent on data, data quality in Information Systems research is a subject that has not received much attention until now. In this paper, a framework is presented for the measurement of scientific data quality using the principles of rule-based measurement. The proposed framework is capable of handling data quality problems due to both incorrect execution and incorrect description of data ...