Academic literature on the topic 'Air raid warning systems'

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Journal articles on the topic "Air raid warning systems"

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Hong, Sunguk, Cheoljeong Park, and Seongjin Cho. "A Rail-Temperature-Prediction Model Based on Machine Learning: Warning of Train-Speed Restrictions Using Weather Forecasting." Sensors 21, no. 13 (July 5, 2021): 4606. http://dx.doi.org/10.3390/s21134606.

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Predicting the rail temperature of a railway system is important for establishing a rail management plan against railway derailment caused by orbital buckling. The rail temperature, which is directly responsible for track buckling, is closely related to air temperature, which continuously increases due to global warming effects. Moreover, railway systems are increasingly installed with continuous welded rails (CWRs) to reduce train vibration and noise. Unfortunately, CWRs are prone to buckling. This study develops a reliable and highly accurate novel model that can predict rail temperature using a machine learning method. To predict rail temperature over the entire network with high-prediction performance, the weather effect and solar effect features are used. These features originate from the analysis of the thermal environment around the rail. Precisely, the presented model has a higher performance for predicting high rail temperature than other models. As a convenient structural health-monitoring application, the train-speed-limit alarm-map (TSLAM) was also proposed, which visually maps the predicted rail-temperature deviations over the entire network for railway safety officers. Combined with TSLAM, our rail-temperature prediction model is expected to improve track safety and train timeliness.
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KELLY, FRANK J., GARY W. FULLER, HEATHER A. WALTON, and JULIA C. FUSSELL. "Monitoring air pollution: Use of early warning systems for public health." Respirology 17, no. 1 (December 21, 2011): 7–19. http://dx.doi.org/10.1111/j.1440-1843.2011.02065.x.

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Desnanjaya, I. Gusti Made Ngurah, I Gede Pandy Sastrawan, and I Wayan Dani Pranata. "SISTEM PERINGATAN KETINGGIAN AIR DAN KENDALI TEMUKU (PINTU AIR) UNTUK IRIGASI SAWAH." Jurnal RESISTOR (Rekayasa Sistem Komputer) 3, no. 1 (April 17, 2020): 1–12. http://dx.doi.org/10.31598/jurnalresistor.v3i1.560.

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The irrigation system in rainfed lowland is done through a water gate (Temuku). Farmers should always control the height of the water and wetland gates during the dry and rainy seasons. This is due to delays in control which can cause the fields to dry or flooded. In this research, water warning system and Temuku control (water gate) for irrigation of paddy field. This tool can provide water level information and can also close or open the irrigation water gate through an SMS. Components used in the manufacture of water alert warning systems and the control of Temuku (sluice gates) for irrigation rice fields are arduino UNO, ultrasonic sensors, SIM 900 and servo motors. From the results of tests that have been done, it can be concluded that the system of water warning and control of Temuku (sluice gate) for irrigation of paddy field has been able to provide water level information to farmers and also the system has been able to control the irrigation water gate according to the input given by SMS.
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Mesa-Jiménez, José Joaquín, Lee Stokes, QingPing Yang, and Valerie Livina. "Early warning signals of failures in building management systems." International Journal of Metrology and Quality Engineering 12 (2021): 11. http://dx.doi.org/10.1051/ijmqe/2021009.

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In the context of sensor data generated by Building Management Systems (BMS), early warning signals are still an unexplored topic. The early detection of anomalies can help preventing malfunctions of key parts of a heating, cooling and air conditioning (HVAC) system that may lead to a range of BMS problems, from important energy waste to fatal errors in the worst case. We analyse early warning signals in BMS sensor data for early failure detection. In this paper, the studied failure is a malfunction of one specific Air Handling Unit (AHU) control system that causes temperature spikes of up to 30 degrees Celsius due to overreaction of the heating and cooling valves in response to an anomalous temperature change caused by the pre-heat coil in winter period in a specific area of a manufacturing facility. For such purpose, variance, lag-1 autocorrelation function (ACF1), power spectrum (PS) and variational autoencoder (VAE) techniques are applied to both univariate and multivariate scenarios. The univariate scenario considers the application of these techniques to the control variable only (the one that displays the failure), whereas the multivariate analysis considers the variables affecting the control variable for the same purpose. Results show that anomalies can be detected up to 32 hours prior to failure, which gives sufficient time to BMS engineers to prevent a failure and therefore, an proactive approach to BMS failures is adopted instead of a reactive one.
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Scheibe, Robert R., and Per G. Reinhall. "Safety Monitoring of Air Brake Systems on Board Commercial Vehicles." Transportation Research Record: Journal of the Transportation Research Board 1560, no. 1 (January 1996): 40–47. http://dx.doi.org/10.1177/0361198196156000107.

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Research is leading to development of an on-board, intelligent air brake warning device (IBWD) for commercial vehicles equipped with such brakes. Recent statistics show that a disturbing proportion of commercial vehicles are operating with brakes that are out of adjustment or otherwise improperly maintained. Air brake systems on multiaxle vehicles are particularly sensitive to brake adjustment and provide poor feedback of deteriorating performance to drivers. Currently, the only active warning is for low air pressure; drivers receive no information about the effectiveness of the total system. Recent improvements, including automatic slack adjusters and antilock brake systems, are not sufficient to ensure adequacy of brakes. IBWD performs an on-board, real-time assessment of vehicle brake performance through measurement of a relatively small number of parameters. It gives drivers adequate time for corrective action and provides maintenance personnel and authorities with valuable information for improved servicing and inspection activities. In addition to the safety benefits, IBWD will enhance commercial vehicle productivity by reducing unnecessary delays at inspection points and by boosting overall acceptance of other intelligent transportation system technologies. A discussion of IBWD design philosophy and methodology is presented. The measurable parameters of interest are discussed, along with how they will be monitored. Analysis and modeling of empirical data collected from an extensive full-scale vehicle test program are presented, along with techniques for deriving a brake assessment algorithm.
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Masselot, Pierre, Fateh Chebana, Éric Lavigne, Céline Campagna, Pierre Gosselin, and Taha B. M. J. Ouarda. "Toward an Improved Air Pollution Warning System in Quebec." International Journal of Environmental Research and Public Health 16, no. 12 (June 13, 2019): 2095. http://dx.doi.org/10.3390/ijerph16122095.

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The nature of pollutants involved in smog episodes can vary significantly in various cities and contexts and will impact local populations differently due to actual exposure and pre-existing sensitivities for cardiovascular or respiratory diseases. While regulated standards and guidance remain important, it is relevant for cities to have local warning systems related to air pollution. The present paper proposes indicators and thresholds for an air pollution warning system in the metropolitan areas of Montreal and Quebec City (Canada). It takes into account past and current local health impacts to launch its public health warnings for short-term episodes. This warning system considers fine particulate matter (PM2.5) as well as the combined oxidant capacity of ozone and nitrogen dioxide (Ox) as environmental exposures. The methodology used to determine indicators and thresholds consists in identifying extreme excess mortality episodes in the data and then choosing the indicators and thresholds to optimize the detection of these episodes. The thresholds found for the summer were 31 μg/m3 for PM2.5 and 43 ppb for Ox in Montreal, and 32 μg/m3 and 23 ppb in Quebec City. In winter, thresholds found were 25 μg/m3 and 26 ppb in Montreal, and 33 μg/m3 and 21 ppb in Quebec City. These results are in line with different guidelines existing concerning air quality, but more adapted to the cities examined. In addition, a sensitivity analysis is conducted which suggests that Ox is more determinant than PM2.5 in detecting excess mortality episodes.
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Mehiriz, Kaddour, and Pierre Gosselin. "Evaluation of the Impacts of a Phone Warning and Advising System for Individuals Vulnerable to Smog. Evidence from a Randomized Controlled Trial Study in Canada." International Journal of Environmental Research and Public Health 16, no. 10 (May 22, 2019): 1817. http://dx.doi.org/10.3390/ijerph16101817.

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Smog warning systems are components of adaptation strategies that are adopted by governments around the world to protect their citizens from extreme episodes of air pollution. As part of a growing research stream on the effectiveness of these systems, this article presents the results of a study on the impacts of an automated phone warning and advising system for individuals vulnerable to air pollution. A sample of 1328 individuals were recruited and randomly assigned to treatment and control groups. The treatment group received smog warning while the control group did not. Data were collected via three phone surveys, two before and one after issuing the smog warning. The comparison between treatment and control groups indicates that exposure to a smog warning improved information on the occurrence of smog episodes (n = 484, OR = 5.58, p = 0.00), and knowledge on protective behaviors. Furthermore, members of treatment group were more likely to avoid exposure to smog episodes by spending more time inside with the windows closed than usual (n = 474, OR = 2.03, p = 0.00). Members of treatment group who take medication in the form of aerosol pumps also kept these devices on themselves more frequently than those of control group (n= 109, OR = 2.15, p = 0.03). The system however had no discernible effects on the awareness of air pollution risks, reduction of health symptoms related to smog and the use of health system services. The absence of health benefits could be related to the lower actual exposure to air pollution of such vulnerable groups during winter.
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Roudnitsky and Duke. "General principles of the biometric systems building for the warning the unauthorized use air court." SPIIRAS Proceedings, no. 4 (March 17, 2014): 405. http://dx.doi.org/10.15622/sp.4.30.

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Wang, Fangping, and Su Fei. "Quantifying the effectiveness of early warning systems for heavy air pollution based on public responses." IOP Conference Series: Earth and Environmental Science 657 (February 20, 2021): 012065. http://dx.doi.org/10.1088/1755-1315/657/1/012065.

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Oprea, Mihaela, Marius Olteanu, and Radu Teodor Ianache. "An Urban Air Pollution Early Warning System Based on PM2.5 Prediction Applied in Ploiesti City." Revista de Chimie 68, no. 4 (May 15, 2017): 858–63. http://dx.doi.org/10.37358/rc.17.4.5566.

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Fine particulate matter with a diameter less than 2.5 �m (i.e. PM2.5) is an air pollutant of special concern for urban areas due to its potential significant negative effects on human health, especially on children and elderly people. In order to reduce these effects, new tools based on PM2.5 monitoring infrastructures tailored to specific urban regions are needed by the local and regional environmental management systems for the provision of an expert support to decision makers in air quality planning for cities and also, to inform in real time the vulnerable population when PM2.5 related air pollution episodes occur. The paper focuses on urban air pollution early warning based on PM2.5 prediction. It describes the methodology used, the prediction approach, and the experimental system developed under the ROKIDAIR project for the analysis of PM2.5 air pollution level, health impact assessment and early warning of sensitive people in the Ploiesti city. The PM2.5 concentration evolution prediction is correlated with PM2.5 air pollution and health effects analysis, and the final result is processed by the ROKIDAIR Early Warning System (EWS) and sent as a message to the affected population via email or SMS. ROKIDAIR EWS is included in the ROKIDAIR decision support system.
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Dissertations / Theses on the topic "Air raid warning systems"

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Bianchi, Luiz Alberto Pereira. "Barrier patrol and air defense system : developing and intergrating flight profiles /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Dec%5FBianchi.pdf.

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Thesis (M.S. in Operations Research)--Naval Postgraduate School, December 2002.
Thesis advisor(s): Steven E. Pilnick, Thomas H. Hoivik. Includes bibliographical references (p. 65-66). Also available online.
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Fulton, Neale Leslie Aerospace &amp Mechanical Engineering Australian Defence Force Academy UNSW. "Regional airspace design: a structured systems engineering approach." Awarded by:University of New South Wales - Australian Defence Force Academy. School of Aerospace and Mechanical Engineering, 2002. http://handle.unsw.edu.au/1959.4/38722.

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There has been almost fifteen years of political controversy surrounding changes to the rules and procedures by which aircraft conduct their flight within regional Australia. Decisions based on a predominately heuristic (rule of thumb) approach to design have had many adverse consequences for the integrity of the proximity warning function. A sound mathematical model is required to establish this function on a mature engineering foundation. To achieve this, the proximity warning function has been investigated as a hybrid-system. This approach recognises the dual nature of the design: that aircraft dynamics give rise to continuous mathematical models while the communication protocols controlling proximity require discrete mathematical approaches. The blending of each aspect has yielded a deeper insight into the operational limitations and failure modes of this function. The presentation of the thesis follows a design thread through the function. It begins with a description of existing standards and implementations. Risk models are then developed. The pilot interface is recognised as a primary design constraint. Mathematical models are then developed to describe the topology of flow, proximity dynamics, and the scheduling constraints associated with visual, voice, and data-link communications required by the proximity warning function. These analyses show that many aspects of design can be bounded by analytical formulae that bring new robustness to the design and resolve some of the misconceptions arising from the often inaccurate perceptions of present airspace operations. Failure modes, unaccounted for in existing designs are found to actually aggravate failure in the very situations in which the airspace design should be robust and should act to prevent collisions. In particular, there are divergences of performance between the demands required by the system design and the ability of the pilot to deliver such performances. In some cases, these failures may be traced to policy decisions such as service between Instrument Flight Rule and Visual Flight Rule category aircraft. On the basis of the conclusions of this research, a formal engineering review of the proximity warning function is required to assure the containment of the likelihood of mid-air collision for all future operations.
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Schneider, Dirk. "Untersuchung von Methoden zur Früherkennung von Bränden in Wald- und Vegetationsgebieten." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-227018.

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Dissertation of Chief Fire Officer Dipl.-Ing. M. Sc. Dirk Schneider for achieving the academic degree of Dr.-Ing. of the Faculty of Forestry, Geo and Hydro Sciences of the Technical University of Dresden with the title: “Early Detection of Fires in Areas of Forests and other Vegetation” Fires threaten and destroy extensive forest and vegetation areas every year, endangering people and its settlements, leading to significant pressures on the environment and destroying considerable high value resources. The expenditures in manpower, logistics and finance for safety in general and fire suppression in particular are considerable. To minimize these varied and extensive consequences of fires, early detection is desirable, making an effective firefighting strategy possible. This early detection is particularly of importance in remote, large-scale areas and territories not under observation by the population, especially if they are subject to an increased or high vulnerability. After investigating and considering the causes, that repeatedly lead to forest fires not only in the Federal Republic of Germany but worldwide, the author describes different traditional and modern methods for early detection of fires in areas of forests and other vegetation. Furthermore the author develops a performance item catalog, basing on practical and economic experience, by which not only novel early warning systems can be developed, but the systems and methods described in the present study also are assessed and compared. The comparison of various early warning systems is guided not only by means of technical features, but also from an economic perspective. Financial calculation methods, staff costs and the peculiarities in public administration are particularly noted. The author also shows the different parameters that influence the selection of an appropriate early warning system for the detection of forest and vegetation areas. It becomes clear that it is the scene of the incident with its specific parameters that determines the most useful early warning system.
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Books on the topic "Air raid warning systems"

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Air raid precautions. Stroud: Tempus, 2007.

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Office, General Accounting. Attack warning: Lack of system architecture contributes to major development problems : report to the Chairman, Subcommittee on Defense, Committee on Appropriations, House of Representatives. Washington, D.C: The Office, 1992.

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Office, General Accounting. Attack warning: ADP replacement for warning and assessment system still years away : report to the chairman, Committee on Government Operations, House of Representatives. Washington, D.C: The Office, 1986.

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Office, General Accounting. Attack warning: Better management required to resolve NORAD integration deficiencies : report to the chairman, Subcommittee on Defense, Committee on Appropriations, House of Representatives. Washington, D.C: The Office, 1989.

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Service, Environment Canada Canadian Forestry. Acid Rain National Early Warning System: Manual on plot establishment and monitoring. Ottawa: Environment Canada., 1988.

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Magasi, L. P. Acid Rain National Early Warning System: Manual on plot establishment and monitoring. Ottawa, Ont: Canadian Forestry Service, 1988.

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David, Baker. Airborne early warning. Vero Beach, FL: Rourke Enterprises, 1989.

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Finegold, Lawrence S. Relationship between Air Force officer qualifying test scores and success in air weapons controller training. Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1985.

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Centre for Air Power Studies (New Delhi, India), ed. Combat support operations: AWACS in air warfare. New Delhi: KW Publishers in association with Centre for Air Power Studies, 2012.

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Transportation Safety Board of Canada. Smoke in cockpit: Air Alliance, Boeing-De Havilland Canada, Dash 8 DHC-8-102 C-FHRC, Montreal International (Mirabel) Airport, Quebec, 03 September 1993. Hull, Quebec: Transportation Safety Board of Canada, 1994.

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Book chapters on the topic "Air raid warning systems"

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Osródka, Leszek. "Development of smog warning systems in large industrial metropolises based on the example of Upper Silesian Industrial Region." In Urban Air Pollution, 367–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61120-9_29.

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Di Napoli, Claudia, Alessandro Messeri, Martin Novák, João Rio, Joanna Wieczorek, Marco Morabito, Pedro Silva, Alfonso Crisci, and Florian Pappenberger. "The Universal Thermal Climate Index as an Operational Forecasting Tool of Human Biometeorological Conditions in Europe." In Applications of the Universal Thermal Climate Index UTCI in Biometeorology, 193–208. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76716-7_10.

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AbstractIn operational weather forecasting standard environmental parameters, such as air temperature and humidity, are traditionally used to predict thermal conditions in the future. These parameters, however, are not enough to describe the thermal stress induced by the outdoor environment to the human body as they neglect the human heat budget and personal characteristics (e.g. clothing). The Universal Thermal Climate Index (UTCI) overcomes these limitations by using an advanced thermo-physiological model coupled with a state-of-the-art clothing model. Several systems have been recently developed to operationally forecast human biometeorological conditions via the UTCI, i.e. by computing UTCI from the forecasts of air temperature, humidity, wind speed and radiation as provided by numerical weather prediction models. Here we describe the UTCI-based forecasting systems developed in Czech Republic, Italy, Poland, Portugal and at the pan-European scale. Their characteristics are illustrated and their potential as warning systems for thermal hazards discussed.
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Foot, Carole, and Liz Hickson. "The seriously ill or deteriorating patient." In Oxford Textbook of Medicine, edited by Simon Finfer, 3829–38. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198746690.003.0384.

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The first step in the clinical approach to a patient who is very ill is the recognition of this fact. While experienced clinicians will intuitively recognize a seriously ill or deteriorating patient, a large body of data has demonstrated that warning signs are often missed or not acted upon, resulting in preventable harm to patients. This has led to the development and adoption of ‘track and trigger’ systems. Track and trigger systems aim to ensure that hospitalized patients undergo regular review and objective observation, with abnormal observation or staff concerns being triggers to escalate care. Escalated care may be urgent review by the treating team, or the calling of a ‘rapid response team’ to attend to a more critically ill patient. While calling criteria and team composition varies from country to country, the principle of rapidly taking skilled care to critically ill patients remains the unifying underlying principle.
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Veerapathiran, Neethidevan, and Anand S. "Reducing False Alarms in Vision-Based Fire Detection." In Applied Video Processing in Surveillance and Monitoring Systems, 263–90. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1022-2.ch012.

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Computer vision techniques are mainly used now a days to detect the fire. There are also many challenges in trying whether the region detected as fire is actually a fire this is perhaps mainly because the color of fire can range from red yellow to almost white. So fire region cannot be detected only by a single feature and many other features (i.e.) color have to be taken into consideration. Early warning and instantaneous responses are the preventing ideas to avoid losses affecting environment as well as human causalities. Conventional fire detection systems use physical sensors to detect fire. Chemical properties of particles in the air are acquired by sensors and are used by conventional fire detection systems to raise an alarm. However, this can also cause false alarms. In order to reduce false alarms of conventional fire detection systems, system make use of vision based fire detection system. This chapter discuss about the fundamentals of videos, various issues in processing video signals, various algorithms for video processing using vision techniques.
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Lucey, Seán. "On the brink of universalism: the Emergency Hospital Services in Second World War Northern Ireland." In Medicine, Health and Irish Experiences of Conflict, 1914-45. Manchester University Press, 2016. http://dx.doi.org/10.7228/manchester/9780719097850.003.0012.

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This chapter examines the medical responses to the outbreak of the Second World War in Northern Ireland with an emphasis on Belfast. It focuses on the emergence of the Emergency Medical Service (EMS), established throughout the United Kingdom in response to the anticipation of likely air-raid casualties. Pre- Second World War hospital services in Belfast were piecemeal, lacking integration and provided by varying independent bodies including voluntary, municipal and poor law authorities. This chapter argues that the EMS brought a degree of integration previously unknown in Northern Irish health organisation and administration. This new found integration of war time medical services greatly influenced the ‘post war reconstruction’ and ‘planning’ of health. The chapter examines Northern Irish contexts and suggests that Irish and Northern Irish health care systems began to dramatically diverge during wartime. It also examines the relationship between Belfast and London’s Ministry of Health, and the challenges of devolved healthcare. In addition, the chapter examines the public health responses to the 1941 Belfast Blitz, and the overall effectiveness of wartime health services.
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and, Hill. "Harden the Health Care System, and Make It Smarter." In Building a Resilient Tomorrow, 135–51. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190909345.003.0008.

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Climate change will introduce new stresses to human health, and not only from the geographical expansion of vector-borne diseases. Because climate change affects basic elements central to human survival—air, food, and water—more people in more places will face public health threats. Despite the clear and present danger climate change poses to public health, the efforts of the medical profession and public health authorities to date have not matched the urgency of the problem and remain too reactive. This chapter focuses on a relatively narrow but important element of the response—the reliability and effectiveness of the systems for delivering medical services. Communities, governments, and global institutions must develop ways to provide health care in a changing climate. It will be important to harden the infrastructure supporting the health care system so it can withstand climate impacts and still deliver services. Health care systems must also be made smarter, which means training health care providers about climate-exacerbated conditions, putting in place predictive and early-warning systems, and finding more effective ways to protect and attend to the most vulnerable people.
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Conference papers on the topic "Air raid warning systems"

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Stachowiak, Jeanne C., Erin E. Shugard, Pamela Caton, Bruce P. Mosier, Ron Renzi, Rafael V. Davalos, Gregory J. McGraw, Blake A. Simmons, Victoria A. Vandernoot, and Brent A. Haroldsen. "Automated Sample Preparation System for Rapid Biological Threat Detection." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-80945.

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Rapid, automated sample preparation of bacterial cells and spores is required for threat analysis by remotely deployed chemical and biological warning systems. Sandia is designing, building, and testing an automated front-end sample preparation system based on miniature and microfluidic components, with the goal of concentrating bacterial species collected from the air, harvesting and solubilizing proteins from them, and delivering them to Sandia’s MicroChemLab capillary gel electrophoresis system1,2 for analysis (Fig. 1). Miniature, motorized valves and pumps control flow between system components connected by fused silica capillaries (Fig. 4). Sample processing modules include concentration by dielectrophoresis in an array of insulating posts or by mechanical filtration; heat-activated chemical lysis; mechanical filtration; removal of chemical lysis agents by size exclusion chromatography (SEC); and in-capillary fluorescent labeling.
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Yang, Yin, Zhihu Tan, Wei Liang, and ChangSheng Xie. "RAID Storage Systems with Early-warning and Data Migration." In 2012 National Conference on Information Technology and Computer Science. Paris, France: Atlantis Press, 2012. http://dx.doi.org/10.2991/citcs.2012.175.

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MUELLER, W., R. ADAMS, and D. BAILEY. "North warning system airship feasibility study." In 6th Lighter-Than-Air Systems Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1985. http://dx.doi.org/10.2514/6.1985-858.

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Wanhong Zhu, Fengshan Wang, and Yating Liu. "FDMS-based description of concept model about air-raid operations." In 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering (ISKE). IEEE, 2010. http://dx.doi.org/10.1109/iske.2010.5680749.

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Gildersleeve, Matthew, and Christian Wullems. "A Human Factors Investigation Into the Unavailability of Active Warnings at Railway Level Crossings." In 2012 Joint Rail Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/jrc2012-74177.

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This paper discusses human factors issues of low cost railway level crossings in Australia. Several issues are discussed in this paper including safety at level railway crossings, human factors considerations associated with the unavailability of a warning device, and a conceptual model for how safety could be compromised at railway level crossings following prolonged or frequent unavailability. The current paper summarises and extends pertinent literature that must be considered for effective interventions to improve safety and to advance our theoretical understanding of human behaviour at level crossings. Although the results of our research are not presented, we describe our experimental approach to progress the current lack of knowledge in this area. In particular we highlight where we can improve previous research methodology (independent & dependent variables) when investigating right-side failure at level crossings, which can produce results with greater validity and meaning. Our research aims to quantify risk to motorists at level crossings following right-side failure using a Human Reliability Assessment (HRA) method, supported by data collected using an advanced driving simulator. This method aims to identify human error within tasks and task units identified as part of the task analysis process. It is anticipated that by modelling driver behaviour the current study will be able to quantify human reliability. Such a risk assessment for the impact of right-side failure at level crossings is currently absent in the literature. Therefore it is crucial to offer quantification of success and failure of this intricate system. The task analysis allows human error identification for the precursors to risky driving to be achieved. If task analysis is not employed the error reduction method may be unsuitable and eventually unsuccessful. Our aim is also to determine those contexts that allow the system to operate successfully with the smallest probability of human error. Human behaviour during complex tasks such as driving through a level crossing is fundamentally context bound. Therefore this study also aims to quantify those performance-shaping factors that may contribute to vehicle train collisions by highlighting changes in the task units and driver physiology. Finally we consider a number of variables germane to ensuring external validity of our results. Without this inclusion, such an analysis could seriously underestimate risk.
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Qu, Jinghao, Xusheng Gan, Guhao Zhao, and Shuangyan Chen. "Research on Detection and Warning of Air Threat Situation for UAV Collision Avoidance." In 2019 International Conference on Intelligent Computing, Automation and Systems (ICICAS). IEEE, 2019. http://dx.doi.org/10.1109/icicas48597.2019.00055.

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McGuire, B., R. Sarunac, and R. B. Wiley. "Wayside Wheel/Rail Load Detector Based Rail Car Preventive Maintenance." In ASME/IEEE 2007 Joint Rail Conference and Internal Combustion Engine Division Spring Technical Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/jrc/ice2007-40015.

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To assess rail car operational performance and to identify poorly performing rail cars early, the Washington Metropolitan Area Transit Authority (WMATA) has acquired and installed a Wayside Wheel/Rail Load Detector (WRLD) and measuring system at one of its yards. The WRLD determines truck performance by measuring lateral loads, vertical loads, and angles of attack (and corresponding derived values such as lateral to vertical (L/V) ratios, speed, average car weight, and total train weight) as vehicles and trains pass the detector. The Association of American Railroads (AAR) introduced this technology in one of its research projects in the 1990s. However, this is the first successful attempt to implement WRLD technology for a transit application. A team of WMATA, Booz Allen Hamilton, and TTCI engineers is working to adapt this technology to be effective in the transit environment. Prior to installing the WRLD, the team performed a VAMPIRE® simulation to predict the range of key parameters that was anticipated at the measurement site and on a representative mainline curve. Real-time data collection and information processing allowed immediate access to the curving performance of individual rail cars. The data was used to assess vehicle dynamic behavior during acceptance testing. Data was stored in a database at the WRLD site, and could be accessed via an Internet link. This data was evaluated for generating performance alarms of poorly performing rail cars — an important project milestone, since gaining maintenance personnel’s confidence in the WRLD’s abilities was one of the major objectives. As an early warning device, the WRLD is a very effective tool to identify and select potential “troublemakers” for inspection and preventive maintenance. In addition, the system is also useful for evaluating selected vehicle series and overall fleet performance, by using median and mean single-wheel L/V ratios.
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8

Gunasinghe, Dasun, Kiaran K. K. Lawson, Reuben Strydom, and Mandyam Srinivasan. "A mid-air collision warning system: Performance comparison using simulated ADS-B, Radar and Vision sensor inputs." In 2018 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2018. http://dx.doi.org/10.1109/icuas.2018.8453478.

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9

Tawakal, Mochammad Ikbal, Maman Abdurohman, and Aji Gautama Putrada. "Wireless Monitoring System for Motorcycle Tire Air Pressure with Pressure Sensor and Voice Warning on Helmet using Fuzzy Logic." In 2021 International Conference on Software Engineering & Computer Systems and 4th International Conference on Computational Science and Information Management (ICSECS-ICOCSIM). IEEE, 2021. http://dx.doi.org/10.1109/icsecs52883.2021.00016.

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10

Klein, John, George Gilchrist, Jim Karanik, Noe Arcas, Richard Yurman, James Whiteside, Bill Shields, and Tony Bartilucci. "Thermal Management of Airbourne Early Warning and Electronic Warfare Systems Using Foam Metal Fins." In ASME 2003 International Electronic Packaging Technical Conference and Exhibition. ASMEDC, 2003. http://dx.doi.org/10.1115/ipack2003-35187.

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This program, addresses the need for thermal management of increasingly powerful and densely packaged electronic devices. Open-celled foams and lattice structures offer the promise of much improved heat transfer between the coolant and the solid structure of the lattice compared to traditional finned heat exchangers. The focus of this program is to evaluate integration of foam and lattice materials as heat exchanger cores and as electronic racks. The potential benefits of this approach include reduction in the volume and weight of the heat exchanger core and/or device junction temperature as well as direct attach cooling of high power electronics. To begin we have selected two major applications, a liquid cooling system heat exchanger, and avionics rack cooling. There is little data on foam metal heat transfer in the regime we anticipate for aircraft applications. Our approach begins with the measurement of heat transfer characteristics of compressed foam metals under conditions suitable for aircraft applications. Basic heat transfer data is being obtained for heat removal from a heated surface by “foam metal fins” with air flowing through the foam. Effective heat transfer coefficient and airflow resistance have been measured. The test method and apparatus are briefly described. Results of heat transfer measurements to date are presented. A theoretical model of “foam metal fins” has been developed and is applied for scaling foam metal fins within our test matrix. Using the model we determine the heat transfer coefficient between the air and foam ligaments. These heat transfer coefficients are compared with cylinders in cross flow. We applied our measured heat transfer characteristics to the design, fabrication and verification test of a highly efficient heat exchanger core. A laboratory scale thermal performance demonstration core was sized based on our test results. Initial tests of a single air / liquid heat exchanger core leg validates our core sizing. Our results can also be applied to cooling of individual electronic components as well as cold plates for electronics.
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