Search results for "Focu"
showing 10 items of 1182 documents
Designing theme-based tabletop exercise for identifying and dealing with coordination problems in emergencies
2016
Tabletop exercises (TTXs) are used to train managers and other actors to deal with emergencies. These exercises that focus on the organisational coordination are planned and controlled by exercise managers through scenarios with predetermined events that participants discuss and act upon. Such exercises may lead to actors being ill prepared to deal with dynamic and emergent situations and problems. To address this knowledge gap, we apply an action design research approach to develop a TTX structured around non-sequential themes instead of predetermined events, thus allowing the participants to identify their own problems during the exercise. Our research contributes to existing knowledge by…
Continuous experimentation on artificial intelligence software : a research agenda
2020
Moving from experiments to industrial level AI software development requires a shift from understanding AI/ ML model attributes as a standalone experiment to know-how integrating and operating AI models in a large-scale software system. It is a growing demand for adopting state-of-the-art software engineering paradigms into AI development, so that the development efforts can be aligned with business strategies in a lean and fast-paced manner. We describe AI development as an “unknown unknown” problem where both business needs and AI models evolve over time. We describe a holistic view of an iterative, continuous approach to develop industrial AI software basing on business goals, requiremen…
Virtual reality for driving simulation
1996
In this paper, the authors describe the data structure necessary to provide real time simulation and visualization of complex environments and situations. Through the SIRCA project, the development of driving oriented simulators, using Virtual Reality (VR) and evaluating it in comparison with convention technologies, has taken place. Focus is on some of the algorithms and data structure required to provide real time simulation of the complex urban environment and its visualization under the conditions of VR devices.
Hardware implementation of content based video indexing algorithms
2005
This paper focus on hardware implementation of content based video indexing techniques by using the FPGA technology. We aim to propose hardware modules that can satisfy requirements of constrained applications, such as real time applications and complex applications that can combine a large number of techniques in the same indexing system. We represent tow examples of micro-architectures related to the dominant colors descriptor and the compact color descriptor.
Focus on Microscopy in the City of the Holy Grail
2007
The next conference in the FOM microscopy conference series will take place in the week after Easter in the University of Valencia, Spain, from Tuesday 10 April to Friday 13 April 2007. The detailed program and information of the conference can be found at the conference website: FocusOnMicroscopy.org.
The crowd against the few: Measuring the impact of expert recommendations
2020
Abstract A large amount of research on recommender systems has focused on improving the accuracy of suggestions in offline settings. However, this focus and the commonly used techniques can lead to a “filter bubble”, severely limiting the diversity of content discovered by users. Several offline studies show that this can be mitigated by using experts for recommendation. In contrast to standard recommender systems, experts are able to generate more diverse recommendations and increase the novelty of given suggestions. They can be used in missing-data or cold-start scenarios and reduce noise in the users' ratings. This paper examines the impact of employed experts' recommendations on user be…
Special Issue: Enhancing Sustainable Performance in Organizational and Inter-Institutional Systems
2013
Sustainability is not just for Christmas… it’s for life. Sustainable solutions, whether sought in terms of business strategies, social policies, or the exploitation of natural resources have to serve organizations and communities in the long term, sometimes very long term, as well as the short term. Static analysis is unlikely to be able to evaluate candidate solutions fully, and is more likely to focus on the short-term future to the detriment of the longer-term. Sustainable solutions are more likely to be developed from studies based on deep analysis using systems approaches, and from system dynamics (SD) approaches in particular.
Multilayer Network Model of Movie Script
2018
Network models have been increasingly used in the past years to support summarization and analysis of narratives, such as famous TV series, books and news. Inspired by social network analysis, most of these models focus on the characters at play. The network model well captures all characters interactions, giving a broad picture of the narration’s content. A few works went beyond by introducing additional semantic elements, always captured in a single layer network. In contrast, we introduce in this work a multilayer network model to capture more elements of the narration of a movie from its script: people, locations, and other semantic elements. This model enables new measures and insights…
On Human–Computer Interaction in Brain–Computer Interfaces
2014
In this chapter, theoretical reflections on human–computer interaction in brain–computer interfaces (BCIs) are combined with the results of an empirical investigation concerning non-invasive EEG-based BCI users’ experiences with this technology. After a short overview of transhumanist visions in the field of neurotechnology this text discusses some anthropological positions concerning interaction between man and technical devices. The focus will be on the concept of “transparency”. Then some empirical results of a pilot study which investigated BCI users’ experiences concerning human–computer interaction in BCI use are presented and discussed against the anthropological background.
Recent Advances in Security and Privacy for Future Intelligent Networks
2020
The articles in this special section focus on recent advances in security and privacy for future intelligent networks. Recent booming advancements in networking techniques have led to an evolution toward future intelligent networks (FINs). This trend takes place under a circumstance in which a great number of devices are connected for specific purposes by a variety of novel techniques. In FINs, we envision the benefits of integrating intelligence into networks. Contemporarily, these emerging techniques are still at the exploration stage, leaving many privacy and security challenges unaddressed. Existing researchers have already uncovered a great amount of attacks and threats. The situation …