Pervasive Software Environments for Supporting Disaster Responses

Catarci, Tiziana; Leoni, Massimiliano de; Marrella, Andrea; Mecella, Massimo; Salvatore, Berardino; Vetere, Guido; Dustdar, Schahram; Juszczyk, Lukasz; Manzoor, Atif; Truong, Hong Linh

doi:10.1109/mic.2008.18

Cited by 70 publications

(44 citation statements)

References 4 publications

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“…De Leoni [37] described an adaptive process management system (PMS) called -SmartPM‖, which supports automatic adaptation techniques to cope with highly dynamic scenarios, such as emergency management. Catarci et al [38,39] described the main results of a European project called WORKPAD, a two-level architecture (front-end and back-end) and used a user-centered design methodology that supports rescue operators in disaster response based on process management and geo-collaboration. Wagenknecht and Rueppel [40] presented a process-centric approach to support flood response management by using formal process models and adapting process management methods.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Case Management Framework to Develop Case-based Emergency Response System

Shahrah¹,

Al‐Mashari²

2017

ijacsa

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Abstract-Emergency response to crisis, disaster, or catastrophe incidents is a clear example of knowledge-intensive and collaboration-heavy process facing all public safety-related organizations. Software systems to support emergency response have existed for decades. However, the limitations of these systems and their development approaches are still significant in terms of flexibility and dynamicity. With the emergence of Adaptive Case Management (ACM) as a new software development approach to support knowledge work and the empower knowledge worker, the authors found that ACM is a promising approach that can be extended to support emergency response especially in large-scale situations. This research aims to study how ACM can be leveraged to design and implement case-based emergency response systems (ERSs). In particular, the authors propose a domain-specific and vendor-neutral Case Management Framework (CMF) that incorporates the essential capabilities to support the ERSs. As a proof-of-concept, the authors support the proposed CMF by a case-based ERS prototype. Finally, the authors conclude that ACM has a great potential to enhance the effectiveness and efficiency of ERSs. This work can be considered as an attempt to advocate the adaptation of ACM in such context.

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Section: Related Workmentioning

confidence: 99%

Adaptive Case Management Framework to Develop Case-based Emergency Response System

Shahrah¹,

Al‐Mashari²

2017

ijacsa

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“…These systems usually make use of front-end and back-end components in order to coordinate team members on the field [2,26]. A key requirement of any emergency response system is its ability to know the state of readiness of the allocated workforce.…”

Section: Emergency Managementmentioning

confidence: 99%

Context Inference for Mobile Applications in the UPCASE Project

Tarrataca

Cardoso

Ferreira

et al. 2009

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. The growing processing capabilities of mobile devices coupled with portable and wearable sensors have enabled the development of context-aware services tailored to the user environment and its daily activities. The problem of determining the user context at each particular point in time is one of the main challenges in this area. In this paper, we describe the approach pursued in the UPCASE project, which makes use of sensors available in the mobile device as well as sensors externally connected via Bluetooth. We describe the system architecture from raw data acquisition to feature extraction and context inference. As a proof of concept, the inference of contexts is based on a decision tree to learn and identify contexts automatically and dynamically at runtime. Preliminary results suggest that this is a promising approach for context inference in several application scenarios.

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“…Section 7 illustrates how MON is envisioned in the final version. Figure 3 depicts a process example stemming from [1] as an informal Activity Diagram. The process consists of two concurrent branches; the final task is Send data with gprs which can be executed only when both of branches are successfully completed.…”

Section: Architecturementioning

confidence: 99%

“…Besides such scenarios, which present mainly static characteristics (i.e., deviations are not the rule, but the exception), PMSs can also be used in mobile and highly dynamic situations, for instance, to coordinate operators/devices/robots/sensors [1].…”

Section: Introductionmentioning

confidence: 99%

“…Here, we report on our ongo-ing efforts to operationalize such framework by making use of the INDIGOLOG agent architecture [2,3,15] developed at the University of Toronto's Cognitive Robotics Group. 1 In particular, in this paper we describe the architecture of a preliminary version and show its applicability through an example stemming from emergency management. We note that while the paper develops all the required features for carrying out processes, it does not handle adaptivity as of yet, although it is arranged for this purpose.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Coordinating Mobile Actors in Pervasive and Mobile Scenarios: An AI-Based Approach

Leoni

Marrella

Mecella

et al. 2008

2008 IEEE 17th Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises

Self Cite

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Pervasive Software Environments for Supporting Disaster Responses

Cited by 70 publications

References 4 publications

Adaptive Case Management Framework to Develop Case-based Emergency Response System

Adaptive Case Management Framework to Develop Case-based Emergency Response System

Context Inference for Mobile Applications in the UPCASE Project

Coordinating Mobile Actors in Pervasive and Mobile Scenarios: An AI-Based Approach

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