Firefighter and victims protecting solution based on wireless body area network nodes

Interconnectivity between Web systems and sensor networks is used to provide smart services for the Internet of Things. These services are based on data collection and processing to obtain useful information about the supervised environment. With this information it is possible to provide smart services, but some of them must be considered as protected by the legislation regarding privacy of personal data. In order to face this issue, security and privacy mechanisms must be used. So as to deal with the limited resources in sensor networks, these mechanisms must be as lightweight as possible to preserve the enough Quality of Service. However, these mechanisms must fulfill security and privacy requirements defined by the regulations. This paper describes a Wireless Body Area Network application providing services to protect firefighter work in hazardous environments. The firefighter wears a special shirt with sensors embedded. These sensors are able to monitor not only the firefighter health status, but also they can be connected to external sensors in order to monitor the health status of the victims. These external sensors are part of the equipment carried by the firefighter to face the emergencies and save lives. Thus, they are able to obtain external medical aid

Energy-efficient MAC protocols for WBANs: Opportunities and challenges

Wireless body area networks (WBANs) are expected to play a significant role in smart healthcare systems. One of the most important attributes of WBANs is to increase network lifetime by introducing novel and low-power techniques on the energy-constrained sensor nodes. Medium access control (MAC) protocols play a significant role in determining the energy consumption in WBANs. Existing MAC protocols are unable to accommodate communication requirements in WBANs. There is a need to develop novel, scalable and reliable MAC protocols that must be able to address all these requirements in a reliable manner. In this special issue, we attracted high quality research and review papers on the recent advances in MAC protocols for WBANs

On staying grounded and avoiding Quixotic dead ends

The 15 articles in this special issue on The Representation of Concepts illustrate the rich variety of theoretical positions and supporting research that characterize the area. Although much agreement exists among contributors, much disagreement exists as well, especially about the roles of grounding and abstraction in conceptual processing. I first review theoretical approaches raised in these articles that I believe are Quixotic dead ends, namely, approaches that are principled and inspired but likely to fail. In the process, I review various theories of amodal symbols, their distortions of grounded theories, and fallacies in the evidence used to support them. Incorporating further contributions across articles, I then sketch a theoretical approach that I believe is likely to be successful, which includes grounding, abstraction, flexibility, explaining classic conceptual phenomena, and making contact with real-world situations. This account further proposes that (1) a key element of grounding is neural reuse, (2) abstraction takes the forms of multimodal compression, distilled abstraction, and distributed linguistic representation (but not amodal symbols), and (3) flexible context-dependent representations are a hallmark of conceptual processing

The Future of the World Trade Organization

The continued difficulties of the World Trade Organization to achieve further multilateral trade liberalization in the Doha Round negotiations have raised questions about its continued relevance. This paper firstly identifies and assesses the key developments in the Doha Round that have contributed to the present stalemate. Secondly, it presents several options that the organization could consider for defining its future work program, given the new realities of global economic engagement, especially the emergence of global production networks. Most importantly, the paper assesses the possibility of including new disciplines covering areas that can help the growth of these drivers of global economic integration. Such an initiative could include three sets of issue: trade facilitation measures, an equitable investment regime, and effective disciplines for curbing non-tariff barriers

Wireless body sensor networks for health-monitoring applications

This is an author-created, un-copyedited version of an article accepted for publication in Physiological Measurement. The publisher is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at http://dx.doi.org/10.1088/0967-3334/29/11/R01

Ontological Representation of Light Wave Camera Data to Support Vision-Based AmI

This article belongs to the Special Issue Sensors and Wireless Sensor Networks for Novel Concepts of Things, Interfaces and Applications in Smart SpacesRecent advances in technologies for capturing video data have opened a vast amount of new application areas in visual sensor networks. Among them, the incorporation of light wave cameras on Ambient Intelligence (AmI) environments provides more accurate tracking capabilities for activity recognition. Although the performance of tracking algorithms has quickly improved, symbolic models used to represent the resulting knowledge have not yet been adapted to smart environments. This lack of representation does not allow to take advantage of the semantic quality of the information provided by new sensors. This paper advocates for the introduction of a part-based representational level in cognitive-based systems in order to accurately represent the novel sensors' knowledge. The paper also reviews the theoretical and practical issues in part-whole relationships proposing a specific taxonomy for computer vision approaches. General part-based patterns for human body and transitive part-based representation and inference are incorporated to an ontology-based previous framework to enhance scene interpretation in the area of video-based AmI. The advantages and new features of the model are demonstrated in a Social Signal Processing (SSP) application for the elaboration of live market researches.This work was supported in part by Projects CICYT TIN2011-28620-C02-01, CICYT TEC2011-28626-C02-02, CAM CONTEXTS (S2009/TIC-1485) and DPS2008-07029-C02-02.Publicad