A multi-modal smart sensing network for marine environmental monitoring

There is an imperative need for long-term, large-scale marine monitoring systems that will allow decisions to be made based on the analysis of collected data to avoid or limit negative impacts on the ecosystem. Modern marine environmental sensing technologies, such as autonomous wireless sensor networks (WSNs), provide the capability to meet the challenges of high spatial and temporal scales. However, the significant amount of data generated from WSNs is a significant challenge for manual analysis. These multitudinous data need to be automatically processed, indexed and catalogued in a smarter way that can be more easily understood, accessed and managed by operators, scientists and policy makers. Moreover, current research works show that WSNs have their own limitations, for example, reliability issues and the fact that they are passive systems and provide context-less data. Thus, it is becoming increasingly clear that in order to adequately monitor marine environments, they need to be characterised from multiple perspectives. Combining multiple technologies and sensing modalities in environmental monitoring programmes can provide not only advantages of reliability and robustness for sensing systems, but also enhanced understanding of environmental processes. In addition, considerable advances can be made if robust sensing technology can be combined with sophisticated methods of data analysis, classification and cataloguing. The aim of this work is to bridge the gap between current aquatic monitoring systems and futuristic ideal large scale multi-modality smart sensing networks for marine environmental monitoring. To illustrate this, a smart sensing system is proposed and two case studies are used to show data processing from in-situ measurements and from camera based visual sensing data automatically using machine learning techniques. Abnormal events detection results from an in-situ sensor and shipping traffic detection results from visual sensor are combined to illustrate the benefit of coupling multiple sensing modalities

Clustering dinámico para tiempo de encendido mínimo en redes de sensores inalámbricas (CLUDITEM)

La medición de variables del medio es fundamental para la supervisión y control de ambientes y actividades de la más diversa índole. Resulta de gran utilidad en aplicaciones industriales, médicas, agrícolas, de preservación del medio natural o creación de ambientes inteligentes, entre otras. En muchas de las aplicaciones mencionadas, el seguimiento de las variables de interés debe realizarse en locaciones distantes u hostiles que hacen muy difícil el cableado y la atención periódica de los dispositivos de medición. Por estos motivos se utilizan las redes inalámbricas de sensores inteligentes (RISI) para obtener los datos necesarios.Facultad de Informátic

Editor's Choice – European Society for Vascular Surgery (ESVS) 2023 Clinical Practice Guidelines on Radiation Safety

info:eu-repo/semantics/publishedVersio

Editor's Choice – European Society for Vascular Surgery (ESVS) 2023 Clinical Practice Guidelines on Radiation Safety

Funding Information: On behalf of the Public and Community Oversight Group (PCOG) of the Health Protection Research Unit in Chemical and Radiation Threats and Hazards: Ian Wright; John Phipps; Colette Kelly; Robert Goundry; Eve Smyth; Andrew Wood; Paul Dale (also of the Scottish Environment Protection Agency). On behalf of the Society and College of Radiographers Patient Advisory Group: Lynda Johnson; Philip Plant; Michelle Carmichael – Specialist Senior Staff Nurse Guy's and St Thomas’ NHS Foundation trust.Peer reviewe

Magnetic Hybrid-Materials

Externally tunable properties allow for new applications of suspensions of micro- and nanoparticles in sensors and actuators in technical and medical applications. By means of easy to generate and control magnetic fields, fluids inside of matrices are studied. This monnograph delivers the latest insigths into multi-scale modelling, manufacturing and application of those magnetic hybrid materials

Aerospace Medicine and Biology: A continuing bibliography with indexes, supplement 233, June 1982

This bibliograhy lists 387 reports, articles, and other documents introduced into the NASA scientific and technical information system in May 1982