AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
How to
Here you can find the complete list of our publications.
You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2018
Napoli, Claudia Di; Valentino, Marco; Sabatucci, Luca; Cossentino, Massimo
Adaptive Workflows of Home-Care Services Proceedings Article
In: 2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), pp. 3–8, IEEE, 2018.
Abstract | Links | BibTeX | Tags: AAL for the Elderly, Assistive robotics, Distributed computer systems, Dynamic workflow, Health care application
@inproceedings{dinapoliAdaptiveWorkflowsHomecare2018,
title = {Adaptive Workflows of Home-Care Services},
author = { Claudia Di Napoli and Marco Valentino and Luca Sabatucci and Massimo Cossentino},
doi = {10.1109/WETICE.2018.00008},
year = {2018},
date = {2018-01-01},
booktitle = {2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)},
pages = {3--8},
publisher = {IEEE},
abstract = {With the increased number of elderly people in developed countries, assistive robotics is gaining more attention allowing to support home care assistance. Here, assistive robotics is adopted to monitor the activities of daily living (ADL) of patients with mild neurological disorders to limit the human monitoring, usually representing a burden for family members. In order to improve the effectiveness and user acceptance level of the robotic system, a middleware layer, able to automatically generate monitoring plans for home care patients, is proposed. The plans are generated as workflow of services, each one representing a monitoring task that can be executed by different devices, including humans, in different ways. We show that a service-oriented approach allows generating adaptive monitoring plans for patients with different levels of neurological disorders, taking into account the dynamic nature of their personality profiles, as well as of the environment they live in.},
keywords = {AAL for the Elderly, Assistive robotics, Distributed computer systems, Dynamic workflow, Health care application},
pubstate = {published},
tppubtype = {inproceedings}
}
With the increased number of elderly people in developed countries, assistive robotics is gaining more attention allowing to support home care assistance. Here, assistive robotics is adopted to monitor the activities of daily living (ADL) of patients with mild neurological disorders to limit the human monitoring, usually representing a burden for family members. In order to improve the effectiveness and user acceptance level of the robotic system, a middleware layer, able to automatically generate monitoring plans for home care patients, is proposed. The plans are generated as workflow of services, each one representing a monitoring task that can be executed by different devices, including humans, in different ways. We show that a service-oriented approach allows generating adaptive monitoring plans for patients with different levels of neurological disorders, taking into account the dynamic nature of their personality profiles, as well as of the environment they live in.
Napoli, Claudia Di; Valentino, Marco; Sabatucci, Luca; Cossentino, Massimo
Adaptive workflows of home-care services Proceedings Article
In: 2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), pp. 3–8, IEEE, 2018.
Abstract | Links | BibTeX | Tags: AAL for the Elderly, Assistive robotics, Distributed computer systems, Dynamic workflow, Health care application
@inproceedings{di_napoli_adaptive_2018,
title = {Adaptive workflows of home-care services},
author = {Claudia Di Napoli and Marco Valentino and Luca Sabatucci and Massimo Cossentino},
doi = {10.1109/WETICE.2018.00008},
year = {2018},
date = {2018-01-01},
booktitle = {2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)},
pages = {3–8},
publisher = {IEEE},
abstract = {With the increased number of elderly people in developed countries, assistive robotics is gaining more attention allowing to support home care assistance. Here, assistive robotics is adopted to monitor the activities of daily living (ADL) of patients with mild neurological disorders to limit the human monitoring, usually representing a burden for family members. In order to improve the effectiveness and user acceptance level of the robotic system, a middleware layer, able to automatically generate monitoring plans for home care patients, is proposed. The plans are generated as workflow of services, each one representing a monitoring task that can be executed by different devices, including humans, in different ways. We show that a service-oriented approach allows generating adaptive monitoring plans for patients with different levels of neurological disorders, taking into account the dynamic nature of their personality profiles, as well as of the environment they live in.},
keywords = {AAL for the Elderly, Assistive robotics, Distributed computer systems, Dynamic workflow, Health care application},
pubstate = {published},
tppubtype = {inproceedings}
}
With the increased number of elderly people in developed countries, assistive robotics is gaining more attention allowing to support home care assistance. Here, assistive robotics is adopted to monitor the activities of daily living (ADL) of patients with mild neurological disorders to limit the human monitoring, usually representing a burden for family members. In order to improve the effectiveness and user acceptance level of the robotic system, a middleware layer, able to automatically generate monitoring plans for home care patients, is proposed. The plans are generated as workflow of services, each one representing a monitoring task that can be executed by different devices, including humans, in different ways. We show that a service-oriented approach allows generating adaptive monitoring plans for patients with different levels of neurological disorders, taking into account the dynamic nature of their personality profiles, as well as of the environment they live in.
2017
Sabatucci, Luca; Cossentino, Massimo
Self-Adaptive Smart Spaces by Proactive Means– End Reasoning Journal Article
In: Journal of Reliable Intelligent Environments, vol. 3, pp. 159–175, 2017.
Abstract | Links | BibTeX | Tags: Architecture, Health care application, Self-Adaptive Systems, Smart Environment
@article{sabatucciSelfadaptiveSmartSpaces2017,
title = {Self-Adaptive Smart Spaces by Proactive Means– End Reasoning},
author = { Luca Sabatucci and Massimo Cossentino},
doi = {10.1007/s40860-017-0047-9},
year = {2017},
date = {2017-01-01},
journal = {Journal of Reliable Intelligent Environments},
volume = {3},
pages = {159--175},
abstract = {The ability of a system to change its behavior at run-time is one of the foundations for engineering intelligent environments. The vision of computing systems that can manage themselves is fascinating, but to date, it presents many intellectual challenges to face. Run-time goal-model artifacts represent a typical approach to communicate requirements to the system and open new directions for dealing with self-adaptation. This paper presents a theoretical framework and a general architecture for engineering self-adaptive smart spaces by breaking out some design-time constraints between goals and tasks. The architecture supports software evolution because goals may be changed during the application lifecycle. The architecture is responsible for configuring its components as the result of a decision-making algorithm working at the knowledge level. The approach is specifically suitable for developing smart space systems, promoting scalability and reusability. The proposed architecture is evaluated through the execution of a set of randomized stress tests.},
keywords = {Architecture, Health care application, Self-Adaptive Systems, Smart Environment},
pubstate = {published},
tppubtype = {article}
}
The ability of a system to change its behavior at run-time is one of the foundations for engineering intelligent environments. The vision of computing systems that can manage themselves is fascinating, but to date, it presents many intellectual challenges to face. Run-time goal-model artifacts represent a typical approach to communicate requirements to the system and open new directions for dealing with self-adaptation. This paper presents a theoretical framework and a general architecture for engineering self-adaptive smart spaces by breaking out some design-time constraints between goals and tasks. The architecture supports software evolution because goals may be changed during the application lifecycle. The architecture is responsible for configuring its components as the result of a decision-making algorithm working at the knowledge level. The approach is specifically suitable for developing smart space systems, promoting scalability and reusability. The proposed architecture is evaluated through the execution of a set of randomized stress tests.
Sabatucci, Luca; Cossentino, Massimo
Self-adaptive smart spaces by proactive means–end reasoning Journal Article
In: Journal of Reliable Intelligent Environments, vol. 3, pp. 159–175, 2017.
Abstract | Links | BibTeX | Tags: Architecture, Health care application, Self-Adaptive Systems, Smart Environment
@article{sabatucci_self-adaptive_2017,
title = {Self-adaptive smart spaces by proactive means–end reasoning},
author = {Luca Sabatucci and Massimo Cossentino},
doi = {10.1007/s40860-017-0047-9},
year = {2017},
date = {2017-01-01},
journal = {Journal of Reliable Intelligent Environments},
volume = {3},
pages = {159–175},
abstract = {The ability of a system to change its behavior at run-time is one of the foundations for engineering intelligent environments. The vision of computing systems that can manage themselves is fascinating, but to date, it presents many intellectual challenges to face. Run-time goal-model artifacts represent a typical approach to communicate requirements to the system and open new directions for dealing with self-adaptation. This paper presents a theoretical framework and a general architecture for engineering self-adaptive smart spaces by breaking out some design-time constraints between goals and tasks. The architecture supports software evolution because goals may be changed during the application lifecycle. The architecture is responsible for configuring its components as the result of a decision-making algorithm working at the knowledge level. The approach is specifically suitable for developing smart space systems, promoting scalability and reusability. The proposed architecture is evaluated through the execution of a set of randomized stress tests.},
keywords = {Architecture, Health care application, Self-Adaptive Systems, Smart Environment},
pubstate = {published},
tppubtype = {article}
}
The ability of a system to change its behavior at run-time is one of the foundations for engineering intelligent environments. The vision of computing systems that can manage themselves is fascinating, but to date, it presents many intellectual challenges to face. Run-time goal-model artifacts represent a typical approach to communicate requirements to the system and open new directions for dealing with self-adaptation. This paper presents a theoretical framework and a general architecture for engineering self-adaptive smart spaces by breaking out some design-time constraints between goals and tasks. The architecture supports software evolution because goals may be changed during the application lifecycle. The architecture is responsible for configuring its components as the result of a decision-making algorithm working at the knowledge level. The approach is specifically suitable for developing smart space systems, promoting scalability and reusability. The proposed architecture is evaluated through the execution of a set of randomized stress tests.