1,721,038 research outputs found
Task-based and geo-based management of emergency situations
No full textIn this paper, the WORKPAD project, concluded in 2009, is presented and the main features of the system are highlighted. They are the interplay of process management (i.e., task-driven coordination of operators during emergency situations) with geoawareness of the team about the area and the team itself (real-time position of colleagues), also based on data integration techniques. © Societá Italiana di Fotogrammetria e Topografia (SIFET) 2011
Cognitive business process management for adaptive cyber-physical processes
Full text linkIn the era of Big Data and Internet-of-Things (IoT), all real-world environments are gradually becoming cyber-physical (e.g., emergency management, healthcare, smart manufacturing, etc.), with the presence of connected devices and embedded ICT systems (e.g., smartphones, sensors, actuators) producing huge amounts of data and events that influence the enactment of the Cyber Physical Processes (CPPs) enacted in such environments. A Process Management System (PMS) employed for executing CPPs is required to automatically adapt its running processes to anomalous situations and exogenous events by minimising any human intervention at run-time. In this paper, we tackle this issue by introducing an approach and an adaptive Cognitive PMS that combines process execution monitoring, unanticipated exception detection and automated resolution strategies leveraging on well-established action-based formalisms in Artificial Intelligence, which allow to interpret the ever-changing knowledge of cyber-physical environments and to adapt CPPs by preserving their base structure
ROME4EU - A service-oriented process-aware information system for mobile devices
No full textNowadays, process-aware information systems (PAISs) are widely used for the management of administrative processes characterized by clear and well-defined structures. Besides those scenarios, PAISs can be used also in mobile and pervasive scenarios, where process participants can be only equipped with smart devices, such as personal digital assistants. None of existing PAISs can be entirely deployed on smart devices, making unfeasible its usage in highly mobile scenarios. This paper presents ROME4EU, a mobile PAIS developed for being applied to the coordination of emergency operators, and an extensive validation of the system, both in term of performances and usability/acceptability by the users. Copyright (c) 2011 John Wiley & Sons, Ltd
An habit is a process: A BPM-based approach for smart spaces
No full textAmong the most important decisions to be taken in modeling human habits in smart spaces there is the choice of the technique to be adopted: models can be expressed by using a multitude of formalisms, all with differently proven effectiveness. However, a crucial aspect, often underestimated in its importance, is the readability of the model: it influences the possibility of validating the model itself by human experts. Possible solutions for the readability issue are offered by Business Process Modeling techniques, designed for process analysis: to apply process automation and mining techniques on a version of the sensor log preprocessed in order to translate raw sensor measurements into human actions. The paper also presents some hints of how the proposed method can be employed to automatically extract models to be reused for ambient intelligence, analysing the challenges in this research field
Addressing multi-users open challenge in habit mining for a process mining-based approach
Full text linkModels of human habits in smart spaces can be expressed by using a multitude of formalisms, whose readability influences the possibility of being validated by human experts. Given the growing availability of low-cost sensing devices promoted by the emerging Internet-of-Things, the analysis of huge amount of data produced by these systems will assume an utmost importance in the near future. But most of them are designed for single user cases. Moving forward in their development, often they hardly fit a realistic environment with many users. In this paper, we first review the most relevant approaches in the area during the last decade, and then we present an analysis pipeline that allows, starting from the sensor log of a smart space, to model human habits in a multi-user environment. The approach is based on exploit BLE beacons to discriminate the different users, then applying techniques borrowed from the area of business process automation and mining on a version of the sensor log preprocessed in order to translate raw sensor measurements into human actions. The paper also presents some hints of how the proposed method can be employed to automatically extract models to be reused for ambient intelligence in a multi-users environment
Mobile process management through Web services
No full textNowadays, process-aware information systems (PAISs) are widely used for the management of "administrative" processes characterized by clear and well-defined structures. Besides those scenarios, PAISs can be used also in mobile and pervasive scenarios, where process participants can be only equipped with smart devices, such as PDAs. This paper illustrates ROME4EU, a fully-fledged PAIS that can be entirely developed on Windows Mobile PDAs. To our knowledge, all existing PAISs are equipped with an engine meant to run only on laptop/desktop. And this prevents them from being used in mobile scenarios, such as emergency management. ROME4EU is based on a mobile Web service middleware and a WS-BPEL orchestrator engine. The feasibility for mobile settings introduces new challenging issues to face with, such as reduced computational power, small screen size, battery consumption, automatic adaptability to anomalous events. The paper details also an evaluation of the ROME4EU's performances and illustrates its use by civil protection operators to manage the aftermath of a (simulated) emergency. © 2010 IEEE
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