89,780 research outputs found
Smart Collaborative Mobile System for Taking Care of Disabled and Elderly People
Official statistics data show that in many countries
the population is aging. In addition, there are several
illnesses and disabilities that also affect a small sector of the
population. In recent years, researchers and medical foundations
are working in order to develop systems based on
new technologies and enhance the quality of life of them.
One of the cheapest ways is to take advantage of the features
provided by the smartphones. Nowadays, the development
of reduced size smartphones, but with high processing capacity,
has increased dramatically. We can take profit of the
sensors placed in smartphones in order to monitor disabled
and elderly people. In this paper, we propose a smart collaborative
system based on the sensors embedded in mobile
devices, which permit us to monitor the status of a person
based on what is happening in the environment, but comparing
and taking decisions based on what is happening to
its neighbors. The proposed protocol for the mobile ad hoc
network and the smart system algorithm are described in
detail. We provide some measurements showing the decisions
taken for several common cases and we also show the
performance of our proposal when there is a medium size
group of disabled or elderly people. Our proposal can also
be applied to take care of children in several situations.This work has been partially supported by the Instituto de Telecomunicacoes, Next Generation Networks and Applications Group (NetGNA), Portugal, and by National Funding from the FCT - Fundacao para a Ciencia e a Tecnologia through the PEst-OE/EEI/LA0008/2011 Project.Sendra Compte, S.; Granell Romero, E.; Lloret, J.; Rodrigues, JJPC. (2014). Smart Collaborative Mobile System for Taking Care of Disabled and Elderly People. Mobile Networks and Applications. 19(3):287-302. doi:10.1007/s11036-013-0445-zS287302193Cisco Systems Inc. âCisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2010â2015.â White Paper, February 1, 2011Pereira O, Caldeira J, Rodrigues J (2011) Body sensor network mobile solutions for biofeedback monitoring. J Mob Netw Appl 16(6):713â732Google. Galaxy nexus (2012). Available: http://www.google.com/nexus/E. 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Urban management revolution: intelligent management systems for ubiquitous cities
A successful urban management support system requires an integrated approach. This integration includes bringing together economic, socio-cultural and urban development with a well orchestrated transparent and open decision making mechanism. The paper emphasises the importance of integrated urban management to better tackle the climate change, and to achieve sustainable urban development and sound urban growth management. This paper introduces recent approaches on urban management systems, such as intelligent urban management systems, that are suitable for ubiquitous cities. The paper discusses the essential role of online collaborative decision making in urban and infrastructure planning, development and management, and advocates transparent, fully democratic and participatory mechanisms for an effective urban management system that is particularly suitable for ubiquitous cities. This paper also sheds light on some of the unclear processes of urban management of ubiquitous cities and online collaborative decision making, and reveals the key benefits of integrated and participatory mechanisms in successfully constructing sustainable ubiquitous cities
Evaluating the development of wearable devices, personal data assistants and the use of other mobile devices in further and higher education institutions
This report presents technical evaluation and case studies of the use of wearable and mobile computing mobile devices in further and higher education. The first section provides technical evaluation of the current state of the art in wearable and mobile technologies and reviews several innovative wearable products that have been developed in recent years. The second section examines three scenarios for further and higher education where wearable and mobile devices are currently being used. The three scenarios include: (i) the delivery of lectures over mobile devices, (ii) the augmentation of the physical campus with a virtual and mobile component, and (iii) the use of PDAs and mobile devices in field studies. The first scenario explores the use of web lectures including an evaluation of IBM's Web Lecture Services and 3Com's learning assistant. The second scenario explores models for a campus without walls evaluating the Handsprings to Learning projects at East Carolina University and ActiveCampus at the University of California San Diego . The third scenario explores the use of wearable and mobile devices for field trips examining San Francisco Exploratorium's tool for capturing museum visits and the Cybertracker field computer. The third section of the report explores the uses and purposes for wearable and mobile devices in tertiary education, identifying key trends and issues to be considered when piloting the use of these devices in educational contexts
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