Using vessel monitoring system (VMS) data to assess the impact of marine protection boundaries on blue ling fishing northwest of the British Isles

The study is devoted to the evaluation of the impact of the spread of HIV infection on the epidemiological indicators of tuberculosis in a megacity. Based on information from the registers of the tuberculosis monitoring system in Moscow for 2014-2015. A comparative analysis of indicators for patients with tuberculosis was conducted with the presence and absence of co-infected HIV infection. The results showed that among patients with tuberculosis combined with HIV infection, patients from the city’s permanent population, from the age group of 31-40 years old, non-working, injecting drug users are much more likely than other TB patients. The number of tuberculosis patients who died of HIV infection, in comparison with the number of patients who died from tuberculosis, accounted for more than a third of the total number of tuberculosis-related deaths. Thus, when assessing the epidemiological situation of tuberculosis, it is necessary to take into account the significant contribution of HIV infection to the values of the main indicators and their dynamics.

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Long-term structural monitoring of multi-story RC structures, based on data extracted from ambient noise and earthquake vibrations

10.5194/egusphere-egu21-13050 ◽

2021 ◽

Author(s):

Alexandru Tiganescu ◽

Bogdan Grecu ◽

Iolanda-Gabriela Craifaleanu ◽

Dragos Toma-Danila ◽

Stefan-Florin Balan

Keyword(s):

Monitoring System ◽

Ambient Noise ◽

Critical Issue ◽

Seismic Events ◽

Noise Sources ◽

Rc Structures ◽

Infrastructure Monitoring ◽

Human Operators ◽

The Impact

<p>The impact of natural hazards on structures and infrastructures is a critical issue that needs to be properly addressed by both public and private entities. To better cope with seismic hazard and to mitigate the risk, long-term multi-sensor infrastructure monitoring represents a useful tool for acquiring information on their condition and vulnerability. However, the current increasing data volume collected using sensors is not suitable to be processed with classical standalone methods. Thus, automatic algorithms and decision-making frameworks should be developed to use this data, with minimum intervention from human operators. A case-study for the application of advanced methods is focused on the headquarters of the Institute for Atomic Physics, a 11-story reinforced concrete building, located near Bucharest, Romania. The instrumentation scheme consists of accelerometers installed at the basement, at an intermediate floor and at the top of the structure. The data were continuously recorded, starting with December 2013. More than 80 seismic events with moment magnitude, M<sub>W</sub>, larger than 3.8 were recorded during the monitoring period. The current study covers the long-term evolution and variation of dynamic parameters (one value per hour), based on both ambient noise sources and small and medium magnitude seismic events. The seasonal variation of these parameters will be determined, as well as their daily variation and the differences between values obtained from ambient noise and from earthquake-induced vibrations. Other atmospheric parameters (e.g. temperature, precipitation, wind speed) will be considered in future studies. The goal of the PREVENT project, in the framework of which the research is performed, is to collect multi-disciplinary data and to integrate them into a complex monitoring system. The current study achieved the first step, focusing on data from the seismic sensors and setting up the premises for a multi-sensor, multi-parameter, more reliable infrastructure monitoring system.&#160;&#160;</p>

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Periphery, Modernity and the Discovery of Wales in Travel Writing in German from 1790 to 1850

Hidden Texts, Hidden Nation ◽

10.3828/liverpool/9781789621433.003.0004 ◽

2020 ◽

pp. 113-154

Author(s):

Kathryn N. Jones ◽

Carol Tully ◽

Heather Williams

Keyword(s):

Great Britain ◽

Travel Writing ◽

Industrial Revolution ◽

Napoleonic Wars ◽

British Isles ◽

German Speaking ◽

The Impact

This was a period of discovery, with many German-speaking travellers exploring the notion of Wales from a position of ignorance. Consequently, Wales is framed as a peripheral ‘other’ throughout, but nevertheless gradually establishes a presence in the German understanding of the British Isles. This is underpinned by a deeply conflicted reading. Some writers focus on an exoticized, Romanticized Wales which is also seen to be colonized and threatened by its dominant neighbour. Other works highlight the impact, but also the desirability of encroaching modernity in the shape of industry and tourism. Most of these travellers are drawn by sublime landscapes and ancient ruins, as well as developments in mining and infrastructure. Writers adopt different prisms through which to observe Wales but as time goes on, these begin to merge as the beginnings of a recognisable tourist trail develop. Central throughout, however, is an ongoing critique of the English domination of Wales, often described explicitly in colonial terms. This serves to undermine the image of England (as a cipher for Great Britain) as a paradigmatic locus of progressive ideals for the German-speaking lands in the aftermath of the Napoleonic Wars and on the brink of industrial revolution.

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Artificial Intelligence-Enabled Traffic Monitoring System

Sustainability ◽

10.3390/su12219177 ◽

2020 ◽

Vol 12 (21) ◽

pp. 9177

Author(s):

Vishal Mandal ◽

Abdul Rashid Mussah ◽

Peng Jin ◽

Yaw Adu-Gyamfi

Keyword(s):

Artificial Intelligence ◽

Deep Learning ◽

Real Time ◽

Monitoring System ◽

Traffic Management ◽

Traffic Monitoring ◽

Deep Convolutional Neural Networks ◽

Stage Of Development ◽

Daunting Task ◽

The Impact

Manual traffic surveillance can be a daunting task as Traffic Management Centers operate a myriad of cameras installed over a network. Injecting some level of automation could help lighten the workload of human operators performing manual surveillance and facilitate making proactive decisions which would reduce the impact of incidents and recurring congestion on roadways. This article presents a novel approach to automatically monitor real time traffic footage using deep convolutional neural networks and a stand-alone graphical user interface. The authors describe the results of research received in the process of developing models that serve as an integrated framework for an artificial intelligence enabled traffic monitoring system. The proposed system deploys several state-of-the-art deep learning algorithms to automate different traffic monitoring needs. Taking advantage of a large database of annotated video surveillance data, deep learning-based models are trained to detect queues, track stationary vehicles, and tabulate vehicle counts. A pixel-level segmentation approach is applied to detect traffic queues and predict severity. Real-time object detection algorithms coupled with different tracking systems are deployed to automatically detect stranded vehicles as well as perform vehicular counts. At each stage of development, interesting experimental results are presented to demonstrate the effectiveness of the proposed system. Overall, the results demonstrate that the proposed framework performs satisfactorily under varied conditions without being immensely impacted by environmental hazards such as blurry camera views, low illumination, rain, or snow.

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Design for Smart Monitoring and Control System of Wind Power Plants

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.846-847.195 ◽

2013 ◽

Vol 846-847 ◽

pp. 195-198

Author(s):

Xiang Wen Zhang ◽

Ran Chen ◽

Chun Wang

Keyword(s):

Wind Power ◽

Monitoring System ◽

Power Plants ◽

Integrated Design ◽

Information Modeling ◽

Monitoring And Control ◽

Wind Power Plants ◽

Service Mapping ◽

Object Oriented Approach ◽

The Impact

The paper analyzes the current wind power plants monitoring system problems and the impact on the grid. Proposed structure for smart monitoring system of wind power plants based on IEC61400-25 and IEC61850.The system uses three level of station level and bay level and process level. System uses information modeling of object-oriented approach for wind power plants. Using maps to IEC61850-8-1 MMS protocol stack communication service mapping is proposed. Wind power plants monitoring system and substation monitoring system uses the integrated design.

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