Security framework of cloud data storage based on Multi Agent system architecture - A pilot study

Author(s):  
Amir Mohamed Talib ◽  
Rodziah Atan ◽  
Rusli Abdullah ◽  
Masrah Azrifah Azmi Murad
2012 ◽  
Vol 03 (04) ◽  
pp. 295-306 ◽  
Author(s):  
Amir Mohamed Talib ◽  
Rodziah Atan ◽  
Rusli Abdullah ◽  
Masrah Azrifah Azmi Murad

2019 ◽  
Vol 14 (4) ◽  
pp. 357-382 ◽  
Author(s):  
Oussama Arki ◽  
Abdelhafid Zitouni ◽  
Ahmed Taki Eddine Dib

2021 ◽  
Vol 3 (5) ◽  
Author(s):  
Paulo Menezes ◽  
Rui P. Rocha

Abstract Societies in the most developed countries have witnessed a significant ageing of the population in recent decades, which increases the demand for healthcare services and caregivers. The development of technologies to help the elderly, so that they can remain active and independent for a longer time, helps to mitigate the sustainability problem posed in care services. This article follows this new trend, proposing a multi-agent system composed of a smart camera network, centralised planning agent, a virtual coach, and robotic exercise buddy, designed to promote regular physical activity habits among the elderly. The proposed system not only persuades the users to perform exercise routines, but also guides and accompanies them during exercises in order to provide effective training and engagement to the user. The different agents are combined in the system to exploit their complementary features in the quest for an effective and engaging training system. Three variants of the system, involving either a partial set of those agents or the full proposed system, were evaluated and compared through a pilot study conducted with 12 elderly users. The results demonstrate that all variants are able to guide the user in an exercise routine, but the most complete system that includes a robotic exercise buddy was the best scored by the participants. Article Highlights Proposal of a multi-agent system to help elderly adopting regular physical activity habits. A virtual coach and a robotic exercise buddy provide both guidance and companionship during the exercise. A pilot study conducted with 12 elderly users demonstrated an effective and engaging training system.


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