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Publicações

Publicações por Hugo Sereno Ferreira

2011

Quality evolution track at QUATIC 2010

Autores
Wermelinger, M; Ferreira, HS;

Publicação
ACM SIGSOFT Software Engineering Notes

Abstract

2012

Market driven implementation of the eCAALYX solution

Autores
Nap, H; Bierhoff, I; Ferreiro, A; Català, A; Samà, A; Gálvez-Barrón, C; Rodríguez-Molinero, A; Ferreira, H; Martins, A; Antomarini, M; Cesaroni, F; Sdogati, C; Carvalho, L; Castro, R; Spallek, J;

Publicação
Gerontechnology

Abstract

2008

Patterns for data and metadata evolution in adaptive object-models

Autores
Ferreira, HS; Correia, FF; Welicki, L;

Publicação
PLoP08 - 15th Conference on Pattern Languages of Programs, Proceedings

Abstract
An Adaptive Object-Model (AOM) is an architectural pattern based upon a dynamic meta-modeling technique where the object model of the system is explicitly defined as data to be interpreted at run-time. The object model encompasses the full specification of domain objects, states, events, conditions, constraints and business rules. Several design patterns, that have before been documented, describe a set of good-practices within this domain. This paper approaches data and metadata evolution issues in the context of AOMs, by describing three additional patterns - History of Operations, System Memento and Migration. They establish ways to track, version, and evolve information, at the several abstraction levels that may exist in an AOM. © 2008 is held by the author(s).

2012

A Ubiquitous Ambient Assisted Living Solution to Promote Safer Independent Living in Older Adults Suffering from Co-morbidity

Autores
Prescher, S; Bourke, AK; Koehler, F; Martins, A; Ferreira, HS; Sousa, TB; Castro, RN; Santos, A; Torrent, M; Gomis, S; Hospedales, M; Nelson, J;

Publicação
2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)

Abstract
This paper describes the development, deployment and trial results from 9 volunteers using the eCAALYX system. The eCAALYX system is an ambient assisted living telemonitoring system aimed at older adults suffering with co-morbidity. Described is a raw account of the challenges that exist and results in bringing a Telemedicine system from laboratory to real-world implementation and results for usability, functionality and reliability.

2012

Scalable Integration of Multiple Health Sensor Data for Observing Medical Patterns

Autores
Ferreira, HS; Sousa, TB; Martins, A;

Publicação
COOPERATIVE DESIGN, VISUALIZATION, AND ENGINEERING (CDVE)

Abstract
With an aging global population, Ambient Assisted Living (AAL) attempts to improve life expectancy and quality of life through the remote monitoring of various health signals using personal and home-based sensors. Possible medical conditions can be early ascertained by observable patterns over the patients' health data. However, aggregating multiple raw signals and matching against medical protocols can be computational and bandwidth intensive. Moreover, adding new protocols requires non-trivial expertise to define necessary rules. This paper describes a lightweight, scalable, and composable mechanism that captures, processes and infers possible health problems from raw data obtained from multiple sensors.

2009

A Cooperative Personal Agenda in a Collaborative Team Environment

Autores
Soares, G; Rossetti, R; Flores, N; Aguiar, A; Ferreira, H;

Publicação
COOPERATIVE DESIGN, VISUALIZATION, AND ENGINEERING, PROCEEDINGS

Abstract
This paper reports on the implementation of a cooperative personal agenda integrated into a collaborative team environment. Concerning developers, traditional project management tools are mainly focused on tasks exclusively related to the project, failing to provide users with the capability of managing tasks not necessarily associated with the work at hand. Scheduling tasks from divergent domains towards a more efficient user planning becomes unfeasible. To overcome this inaptness, we have extended the Redmine platform with an agenda-like behaviour bearing in mind each user's individual constraints.

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