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How information systems can help in alarm/alert detection /
Alarm or alert detection remains an issue in various areas from nature, i.e. flooding, animals or earthquake, to software systems. Liveness, dynamicity, reactivity of alarm systems: how to ensure the warning information reach the right destination at the right moment and in the right location, still...
| Clasificación: | Libro Electrónico |
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| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London, UK : Kidlington, Oxford, UK :
ISTE Press Ltd ; Elsevier Ltd,
2018.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; How Information Systems Can Help in Alarm/Alert Detection; Copyright Page; Contents; Introduction; Predicting Alarms through Big Data Analytics: Feedback from Industry Pilots; Mobility and Prediction: an Asset for Crisis Management; Smartphone Applications: a Means to Promote Emergency Management in France?; Mobiquitous Systems Applied to Earthquake Monitoring: the SISMAPP project; Information Systems for Supporting Strategic Decisions and Alerts in Pharmacovigilance; An Ontologically-based Trajectory Modeling Approach for an Early Warning System
- Toward a Modeling of Population Behaviors in Crisis SituationsOnline Social Network Phenomena: Rumor, Buzz and Spam; How Can Computer Tools Improve Early Warnings for Wildlife Diseases?; 1. Predicting Alarms through Big Data Analytics: Feedback from Industry Pilots; 1.1. Introduction; 1.2. Background: alarm terminology, system analysis and data analytics; 1.3. Overview of the case studies and methodology; 1.4. Case Study 1: improving IT availability using predictive maintenance; 1.5. Case study 2: better care quality through clinical pathways; 1.6. Discussion and related work
- 1.7. Conclusion and perspectives1.8. Acknowledgments; 1.9. References; 2. Mobility and Prediction: an Asset for Crisis Management; 2.1. Introduction; 2.2. Related works on MCSC; 2.3. Our proposed framework; 2.4. Urban mobility and prediction with Ur-MoVe; 2.5. Conclusion and future works; 2.6. References; 3. Smartphone Applications: a Means to Promote Emergency Management in France?; 3.1. Introduction; 3.2. Investing in smartphones: a contextual opportunity; 3.3. Considerable benefits expected; 3.4. Potential that should not be overestimated
- 3.5. How can we encourage recourse to smartphone applications?3.6. Conclusions; 3.7. References; 4. Mobiquitous Systems Applied to Earthquake Monitoring: the SISMAPP Project; 4.1. Introduction; 4.2. Motivations; 4.3. State of the art; 4.4. Overview of our work; 4.5. Measurement collector from the mobile accelerometer sensor; 4.6. Conclusion and continuation of the project; 4.7. Acknowledgments; 4.8. References; 5. Information Systems for Supporting Strategic Decisions and Alerts in Pharmacovigilance; 5.1. Introduction; 5.2. Pharmacovigilance
- 5.3. System and clinical trial project organization analysis5.4. The state of the art; 5.5. Issues; 5.6. Proposal: considered solution; 5.7. Conclusion; 5.8. References; 6. An Ontologically-based Trajectory Modeling Approach for an Early Warning System; 6.1. Introduction; 6.2. Related work; 6.3. Modeling approach; 6.4. Domain trajectory ontology; 6.5. Time ontology; 6.6. Mapping trajectory and time ontologies; 6.7. Trajectory ontology inference framework; 6.8. Trajectory ontology inference framework implementation; 6.9. Experiments; 6.10. Application domain inference refinement