Relevant bibliographies by topics / Radiation early warning network

Academic literature on the topic 'Radiation early warning network'

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Published: 25 May 2024

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Journal articles on the topic "Radiation early warning network"

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Tran Duc Tan. "DEVELOPMENT OF A SMART OCEAN RADIATION MONITORING SYSTEM." Journal of Military Science and Technology, no. 75A (November 11, 2021): 38–45. http://dx.doi.org/10.54939/1859-1043.j.mst.75a.2021.38-45.

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Ocean radiation monitoring systems (ORMSs) are an essential component in the radiation early warning network that monitors radiation exposure and estimates radioactive propagation induced by nuclear activities or nuclear accidents in the sea. Numerous systems have been developed and installed in the radiation warning network in different countries. However, there is not any similar product that has been studied and developed in Vietnam. This paper presents a complete process in designing and manufacturing a marine buoy integrated with a radiation sensor. The radiation detector can measure both dose rate and radiological spectrum. The ORMS also combines multimodal data transmission and various programmed software for data processing, signal transmission, and system control. Therefore, the proposed configuration system has potential application in terms of performance and maintenance.
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Glavič-Cindro, Denis, Drago Brodnik, Toni Petrovič, Matjaž Vencelj, Dušan Ponikvar, Steven James Bell, Lynsey Keightley, and Selina Woods. "Compact radioactive aerosol monitoring device for early warning networks." Applied Radiation and Isotopes 126 (August 2017): 219–24. http://dx.doi.org/10.1016/j.apradiso.2016.12.036.

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Stöhlker, U., M. Bleher, H. Doll, H. Dombrowski, W. Harms, I. Hellmann, R. Luff, B. Prommer, S. Seifert, and F. Weiler. "THE GERMAN DOSE RATE MONITORING NETWORK AND IMPLEMENTED DATA HARMONIZATION TECHNIQUES." Radiation Protection Dosimetry 183, no. 4 (January 10, 2018): 405–17. http://dx.doi.org/10.1093/rpd/ncy154.

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Abstract Environmental radiation monitoring networks have been established in Europe and world-wide for the purpose of protecting population and environment against ionizing radiation. Some of these networks had been established during the cold war period and were improved after the Chernobyl accident in 1986. Today, the German Federal Office for Radiation Protection (BfS) operates an early warning network with roughly 1800 ambient dose equivalent rate (ADER) stations equally distributed over the German territory. The hardware and software of all network components are developed in-house allowing the continuous optimization of all relevant components. A probe characterization and quality assurance and control program are in place. Operational and technical aspects of the network and data harmonization techniques are described. The latter allows for calculating of the terrestrial and net ADER combined with uncertainties mainly from site specific effects. Harmonized data are finally used as input to the German emergency management system and the European radiological data exchange platform.
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Mahomed, Maqsooda, Alistair D. Clulow, Sheldon Strydom, Tafadzwanashe Mabhaudhi, and Michael J. Savage. "Assessment of a Ground-Based Lightning Detection and Near-Real-Time Warning System in the Rural Community of Swayimane, KwaZulu-Natal, South Africa." Weather, Climate, and Society 13, no. 3 (July 2021): 605–21. http://dx.doi.org/10.1175/wcas-d-20-0116.1.

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AbstractClimate change projections of increases in lightning activity are an added concern for lightning-prone countries such as South Africa. South Africa’s high levels of poverty, lack of education, and awareness, as well as a poorly developed infrastructure, increase the vulnerability of rural communities to the threat of lightning. Despite the existence of national lightning networks, lightning alerts and warnings are not disseminated well to such rural communities. We therefore developed a community-based early warning system (EWS) to detect and disseminate lightning threats and alerts in a timely and comprehensible manner within Swayimane, KwaZulu-Natal, South Africa. The system is composed of an electrical field meter and a lightning flash sensor with warnings disseminated via audible and visible alarms on site and with a remote server issuing short message services (SMSs) and email alerts. Twelve months of data (February 2018–February 2019) were utilized to evaluate the performance of the EWS’s detection and warning capabilities. Diurnal variations in lightning activity indicated the influence of solar radiation, causing convective conditions with peaks in lightning activity occurring during the late afternoon and early evening (between 1400 and 2100) coinciding with students being released from school and when most workers return home. In addition to detecting the threat of lightning, the EWS was beneficial in identifying periods that exhibited above-normal lightning activity, with two specific lightning events examined in detail. Poor network signals in rural communities presented an initial challenge, delaying data transmission to the central server until rectified using multiple network providers. Overall, the EWS was found to disseminate reliable warnings in a timely manner.
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Singh, Mukesh Kumar, Shasvath J. Kapadia, Md Arif Shaikh, Deep Chatterjee, and Parameswaran Ajith. "Improved early warning of compact binary mergers using higher modes of gravitational radiation: a population study." Monthly Notices of the Royal Astronomical Society 502, no. 2 (January 19, 2021): 1612–22. http://dx.doi.org/10.1093/mnras/stab125.

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ABSTRACT A gravitational wave early warning of a compact binary coalescence event, with a sufficiently tight localization skymap, would allow telescopes to point in the direction of the potential electromagnetic counterpart before its onset. Use of higher modes of gravitational radiation, in addition to the dominant mode typically used in templated real-time searches, was recently shown to produce significant improvements in early-warning times and skyarea localizations for a range of asymmetric mass binaries. We perform a large-scale study to assess the benefits of this method for a population of compact binary merger observations. In particular, we inject 100 000 such signals in Gaussian noise, with component masses $m_1 \in \left[1, 60 \right] \, \mathrm{M}_{\odot }$ and $m_2 \in \left[1, 3 \right] \, \mathrm{M}_{\odot }$. We consider three scenarios involving ground-based detectors: the fifth (O5) observing run of the Advanced LIGO-Virgo-KAGRA network, its projected Voyager upgrade, as well as a proposed third-generation (3G) network. We find that for fixed early-warning times of 20–60 s, the inclusion of the higher modes can provide localization improvements of a factor of ≳2 for up to ${\sim}60{{\ \rm per\ cent}}$ ($70 {{\ \rm per\ cent}}$) of the neutron star–black hole (NSBH) systems in the O5 (Voyager) scenario. Considering only those NSBH systems that can produce potential electromagnetic counterparts, such improvements in the localization can be expected for ${\sim}5\!-\!35{{\ \rm per\ cent}}$ $(20\!-\!50{{\ \rm per\ cent}})$ binaries in O5 (Voyager). For the 3G scenario, a significant fraction of the events have time gains of a minute to several minutes, assuming fiducial target localization areas of 100–1000 deg2.
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Faleschini, J., H. Mayer, M. Bielz, W. Hackl, and T. Schulz. "Early warning against airborne radioactivity in Bavaria: Measuring network for radioactive immissions." Kerntechnik 74, no. 4 (August 2009): 205–11. http://dx.doi.org/10.3139/124.110032.

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Zhao, Enyu, Nianxin Qu, Yulei Wang, and Caixia Gao. "Spectral Reconstruction from Thermal Infrared Multispectral Image Using Convolutional Neural Network and Transformer Joint Network." Remote Sensing 16, no. 7 (April 5, 2024): 1284. http://dx.doi.org/10.3390/rs16071284.

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Thermal infrared remotely sensed data, by capturing the thermal radiation characteristics emitted by the Earth’s surface, plays a pivotal role in various domains, such as environmental monitoring, resource exploration, agricultural assessment, and disaster early warning. However, the acquisition of thermal infrared hyperspectral remotely sensed imagery necessitates more complex and higher-precision sensors, which in turn leads to higher research and operational costs. In this study, a novel Convolutional Neural Network (CNN)–Transformer combined block, termed CTBNet, is proposed to address the challenge of thermal infrared multispectral image spectral reconstruction. Specifically, the CTBNet comprises blocks that integrate CNN and Transformer technologies (CTB). Within these CTBs, an improved self-attention mechanism is introduced, which not only considers features across spatial and spectral dimensions concurrently, but also explicitly extracts incremental features from each channel. Compared to other algorithms, the proposed method more closely aligns with the true spectral curves in the reconstruction of hyperspectral images across the spectral dimension. Through a series of experiments, this approach has been proven to ensure robustness and generalizability, outperforming some state-of-the-art algorithms across various metrics.
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Nguyen, Liem D., Hong T. Nguyen, Phuong D. N. Dang, Trung Q. Duong, and Loi K. Nguyen. "Design of an automatic hydro-meteorological observation network for a real-time flood warning system: a case study of Vu Gia-Thu Bon river basin, Vietnam." Journal of Hydroinformatics 23, no. 2 (January 5, 2021): 324–39. http://dx.doi.org/10.2166/hydro.2021.124.

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Abstract This paper presents an interdisciplinary approach, along with Vietnam's legal frameworks, to design an automatic hydro-meteorological (HM) observation network for a real-time flood warning system in Vu Gia-Thu Bon (VGTB) river basin, Vietnam. The automatic HM monitoring network consists of weather-proof enclosures containing data loggers, rechargeable batteries, sensors for air temperature, air humidity, solar radiation, wind speed, water level with attached solar panels and mounted upon masts located at fixed ground stations. A total of 20 meteorological stations and five hydrological stations have been built in VGTB river basin. To capture changes in weather and stream flow in the basin, the 5-minute and half-hour recording frequency options were set for meteorological and hydrological variables, respectively. All HM data was transmitted every 30 minutes to the data server at the data processing centre via Global System for Mobile Communications (GSM)/General Packet Radio Service (GPRS) network. These data were then input into hydrological-hydraulic models for inundation simulation in the basin. The results showed that the performance of flood simulation at hourly time step has significantly improved during flood events in September and November 2015. Overall, near-real-time HM data recording from an automatic monitoring network proved beneficial for an flood early warning system.
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Shukla, Shraddhanand, Daniel McEvoy, Mike Hobbins, Greg Husak, Justin Huntington, Chris Funk, Denis Macharia, and James Verdin. "Examining the Value of Global Seasonal Reference Evapotranspiration Forecasts to Support FEWS NET’s Food Insecurity Outlooks." Journal of Applied Meteorology and Climatology 56, no. 11 (November 2017): 2941–49. http://dx.doi.org/10.1175/jamc-d-17-0104.1.

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AbstractThe Famine Early Warning Systems Network (FEWS NET) team provides food insecurity outlooks for several developing countries in Africa, central Asia, and Central America. This study describes development of a new global reference evapotranspiration (ET0) seasonal reforecast and skill evaluation with a particular emphasis on the potential use of this dataset by FEWS NET to support food insecurity early warning. The ET0 reforecasts span the 1982–2009 period and are calculated following the American Society for Civil Engineers formulation of the Penman–Monteith method driven by seasonal climate forecasts of monthly mean temperature, humidity, wind speed, and solar radiation from the National Centers for Environmental Prediction CFSv2 model and the National Aeronautics and Space Administration GEOS-5 model. The skill evaluation, using deterministic and probabilistic scores, focuses on the December–February (DJF), March–May (MAM), June–August (JJA), and September–November seasons. The results indicate that ET0 forecasts are a promising tool for early warning of drought and food insecurity. Globally, the regions where forecasts are most skillful (correlation > 0.35 at leads of 2 months) include the western United States, northern parts of South America, parts of the Sahel region, and southern Africa. The FEWS NET regions where forecasts are most skillful (correlation > 0.35 at lead 3) include northern sub-Saharan Africa (DJF; dry season), Central America (DJF; dry season), parts of East Africa (JJA; wet season), southern Africa (JJA; dry season), and central Asia (MAM; wet season). A case study over parts of East Africa for the JJA season shows that ET0 forecasts in combination with the precipitation forecasts would have provided early warning of recent severe drought events (e.g., in 2002, 2004, 2009) that contributed to substantial food insecurity in the region.
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Sáez-Vergara, J. C., I. M. G. Thompson, R. Gurriarán, H. Dombrowski, E. Funck, and S. Neumaier. "The second EURADOS intercomparison of national network systems used to provide early warning of a nuclear accident." Radiation Protection Dosimetry 123, no. 2 (September 13, 2006): 190–208. http://dx.doi.org/10.1093/rpd/ncl112.

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Dissertations / Theses on the topic "Radiation early warning network"

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Rust, Sunchlar M. "Collaborative network evolution the Los Angeles terrorism early warning group." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Mar%5FRust.pdf.

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Coffman, James Wyatt. "Web-enabling an early warning and tracking system for network vulnerabilities." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2001. http://handle.dtic.mil/100.2/ADA397344.

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Pukhanov, Alexander. "WiFi Extension for Drought Early-Warning Detection System Components." Thesis, Linköpings universitet, Elektroniska Kretsar och System, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-123436.

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Excessive droughts on the African continent have caused the Swedish Meteorological and Hydrological Institute to launch a program of gathering data in hopes of producing models for rainfalls and droughts. A sensor capable of gathering such data has already been chosen, however there remains the problem of conveniently retrieving data from each of the sensors spread over a large area of land. To accomplish this goal, a small, cheap and efficient wireless capable module would need to be used. A possible candidate is the new WiFi-module from Espress if designated ESP8266. It is an extremely cheap and versatile wireless SoC that is able to perform the task of a wireless communications adapter for the sensor unit. The point of this thesis is to investigate the suitability of IEEE 802.11 for the task, and produce a piece of firmware for the ESP8266. The firmware shall enable it to be attached to a sensor and operate as a wireless mesh node in a self-organizing WLAN sensor network, enabling data retrieval via WiFi multi-hop deliveries.
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Al, Saleh Mohammed. "SPADAR : Situation-aware and proactive analytics for dynamic adaptation in real time." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG060.

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Bien que le niveau de rayonnement soit une préoccupation sérieuse qui nécessite une surveillance continue, de nombreux systèmes existants sont conçus pour effectuer cette tâche. Radiation Early Warning System (REWS) est l'un de ces systèmes qui surveille le niveau de rayonnement gamma dans l'air. Un tel système nécessite une intervention manuelle élevée, dépend totalement de l'analyse d'experts et présente des lacunes qui peuvent parfois être risquées. Dans cette thèse, l'approche RIMI (Refining Incoming Monitored Incidents) sera introduite, qui vise à améliorer ce système pour gagner en autonome tout en laissant la décision finale aux experts. Une nouvelle méthode est présentée qui aidera à changer ce système pour devenir plus intelligent tout en apprenant des incidents passés de chaque système spécifique
Although radiation level is a serious concern that requires continuous monitoring, many existing systems are designed to perform this task. Radiation Early Warning System (REWS) is one of these systems which monitors the gamma radiation level in the air. Such a system requires high manual intervention, depends totally on experts' analysis, and has some shortcomings that can be risky sometimes. In this thesis, the RIMI (Refining Incoming Monitored Incidents) approach will be introduced, which aims to improve this system while becoming more autonomous while keeping the final decision to the experts. A new method is presented which will help in changing this system to become more intelligent while learning from past incidents of each specific system
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Su, Joseph C. C. 1977. "Developing an early warning system for congestive heart failure during a Bayesian reasoning network." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/89329.

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Foot, Kirsten A. "Writing conflicts : an activity theory analysis of the development of the Network for Ethnological Monitoring and Early Warning /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1999. http://wwwlib.umi.com/cr/ucsd/fullcit?p9935450.

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Lagazio, Monica. "An early warning information system for militarised interstate conflicts : combining the interactive liberal peace proposition with neural network modelling." Thesis, University of Nottingham, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366598.

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GIOMMI, Chiara. "Study of the effects of climate extremes on functioning of intertidal assemblages to design an early warning sensor network." Doctoral thesis, Università degli Studi di Palermo, 2020. http://hdl.handle.net/10447/395474.

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Edossa, D. C., and M. S. Babel. "Development of streamflow forecasting model using artificial neural network in the Awash River Basin, Ethiopia." Interim : Interdisciplinary Journal, Vol 10 , Issue 1: Central University of Technology Free State Bloemfontein, 2011. http://hdl.handle.net/11462/332.

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Published Article
Early indication of possible drought can help in developing suitable drought mitigation strategies and measures in advance. Therefore, drought forecasting plays an important role in the planning and management of water resource in such circumstances. In this study, a non-linear streamflow forecasting model was developed using Artificial Neural Network (ANN) modeling technique at the Melka Sedi stream gauging station, Ethiopia, with adequate lead times. The available data was divided into two independent sets using a split sampling tool of the neural network software. The first data set was used for training and the second data set, which is normally about one fourth of the total available data, was used for testing the model. A one year data was set aside for validating the ANN model. The streamflow predicted using the model on weekly time step compared favorably with the measured streamflow data (R2 = 75%) during the validation period. Application of the model in assessing appropriate agricultural water management strategies for a large-scale irrigation scheme in the Awash River Basin, Ethiopia, has already been considered for publication in a referred journal.
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Hloupis, Georgios. "Seismological data acquisition and signal processing using wavelets." Thesis, Brunel University, 2009. http://bura.brunel.ac.uk/handle/2438/3470.

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This work deals with two main fields: a) The design, built, installation, test, evaluation, deployment and maintenance of Seismological Network of Crete (SNC) of the Laboratory of Geophysics and Seismology (LGS) at Technological Educational Institute (TEI) at Chania. b) The use of Wavelet Transform (WT) in several applications during the operation of the aforementioned network. SNC began its operation in 2003. It is designed and built in order to provide denser network coverage, real time data transmission to CRC, real time telemetry, use of wired ADSL lines and dedicated private satellite links, real time data processing and estimation of source parameters as well as rapid dissemination of results. All the above are implemented using commercial hardware and software which is modified and where is necessary, author designs and deploy additional software modules. Up to now (July 2008) SNC has recorded 5500 identified events (around 970 more than those reported by national bulletin the same period) and its seismic catalogue is complete for magnitudes over 3.2, instead national catalogue which was complete for magnitudes over 3.7 before the operation of SNC. During its operation, several applications at SNC used WT as a signal processing tool. These applications benefited from the adaptation of WT to non-stationary signals such as the seismic signals. These applications are: HVSR method. WT used to reveal undetectable non-stationarities in order to eliminate errors in site’s fundamental frequency estimation. Denoising. Several wavelet denoising schemes compared with the widely used in seismology band-pass filtering in order to prove the superiority of wavelet denoising and to choose the most appropriate scheme for different signal to noise ratios of seismograms. EEWS. WT used for producing magnitude prediction equations and epicentral estimations from the first 5 secs of P wave arrival. As an alternative analysis tool for detection of significant indicators in temporal patterns of seismicity. Multiresolution wavelet analysis of seismicity used to estimate (in a several years time period) the time where the maximum emitted earthquake energy was observed.
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Books on the topic "Radiation early warning network"

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author, Sagala Saut, Adi Suryadini author, and Institute of Resource Governance and Social Change (Indonesia), eds. Conceptualizing an established network of a community based flood early warning system: Case of Cawang, East Jakarta, Jakarta, Indonesia. [Kupang, NTT, Indonesia]: IRGSC, 2013.

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Famine Early Warning System Network. Famine Early Warning Systems Network. n.d.

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Web-Enabling an Early Warning and Tracking System for Network Vulnerabilities. Storming Media, 2001.

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Department of Defense. United States Earthquake Early Warning System: How Theory and Analysis Can Save America Before the Big One Happens - Advocating Implementation of the ShakeAlert Warning System on the Seismic Network. Independently Published, 2018.

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Early warning satellites: Funding for follow-on system is premature : report to the Chairman, Subcommittee on Defense, Committee on Appropriations, House of Representatives. Washington, D.C: The Office, 1991.

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US GOVERNMENT. 21st Century Guide to the Famine Early Warning System Network (FEWS) ¿ U.S. Agency for International Development (USAID) Monitoring Food Insecurity in Africa (Core Federal Information Series). Progressive Management, 2003.

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Book chapters on the topic "Radiation early warning network"

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Tikkanen, Antti, and Teemupekka Virtanen. "Early Warning for Network Worms." In Computational Intelligence and Security, 1054–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11596981_157.

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Kalutarage, Harsha, Siraj Shaikh, Bu-Sung Lee, Chonho Lee, and Yeo Chai Kiat. "Early Warning Systems for Cyber Defence." In Open Problems in Network Security, 29–42. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39028-4_3.

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Bsufka, Karsten, Olaf Kroll-Peters, and Sahin Albayrak. "Intelligent Network-Based Early Warning Systems." In Critical Information Infrastructures Security, 103–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11962977_9.

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Chatziadam, Panos, Ioannis G. Askoxylakis, and Alexandros Fragkiadakis. "A Network Telescope for Early Warning Intrusion Detection." In Lecture Notes in Computer Science, 11–22. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07620-1_2.

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Shimizu, Yoshihisa, and Kunihiro Takahashi. "Real-Time City Gas Network Damage Estimation System: SIGNAL." In Early Warning Systems for Natural Disaster Reduction, 701–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55903-7_93.

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Liu, Ke. "Financial Early Warning Based on BP Neural Network Model." In Cyber Security Intelligence and Analytics, 720–25. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97874-7_96.

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Yu, Lan. "Neural Network Technology for Electrical Fire Early Warning System." In Lecture Notes in Electrical Engineering, 308–15. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2287-1_44.

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Xia, Xiaona, and Wanxue Qi. "Early Warning Value Propagation Network for Continuous Learning Behaviors." In Early Warning Mechanisms for Online Learning Behaviors Driven by Educational Big Data, 59–82. London: Routledge, 2024. http://dx.doi.org/10.4324/9781003484905-4.

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Fujita, Haruhiro, and Christopher Elvidge. "Dedicated Earth Monitoring and Disaster Warning Applications by Asia Pacific Advanced Network (APAN)." In Early Warning Systems for Natural Disaster Reduction, 641–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55903-7_87.

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Wijesinghe, Lanka, Prasanga Siriwardena, and Dileeka Dias. "A Wireless Sensor Network for Early Warning of Elephant Intrusions." In Communications in Computer and Information Science, 38–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41054-3_4.

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Conference papers on the topic "Radiation early warning network"

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Burns, David A., Marc S. Litz, James J. Carroll, and Dimosthenis Katsis. "Radiation detection and wireless networked early warning." In SPIE Defense, Security, and Sensing. SPIE, 2012. http://dx.doi.org/10.1117/12.918590.

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Yalin, Ye, Yan Lina, Zhang Qian, Yuan Quan, and Xu Yang. "Design of Network Security Early Warning System." In 2016 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS). IEEE, 2016. http://dx.doi.org/10.1109/icitbs.2016.55.

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Kumar, Prashant, Preetam Kumar, Poonam Priyadarshini, and Srija. "Underwater acoustic sensor network for early warning generation." In OCEANS 2012. IEEE, 2012. http://dx.doi.org/10.1109/oceans.2012.6405009.

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Kroll, Dan. "Criteria for Evaluating Distribution Network Early Warning Systems." In World Environmental and Water Resources Congress 2010. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41114(371)49.

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Rong, Shanyu, Xibo Yu, Liangyan Liu, Kaiwen Jiang, and Xiaowen Zhong. "Neural Network Based Aircraft Automation Early Warning Research." In 2023 IEEE 5th International Conference on Power, Intelligent Computing and Systems (ICPICS). IEEE, 2023. http://dx.doi.org/10.1109/icpics58376.2023.10235402.

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Bhatnagar, H., C. H. Shiva Shankar, and Subrat Kar. "Network Design and Performance Evaluation of an Early Warning Network." In MILCOM 2007 - IEEE Military Communications Conference. IEEE, 2007. http://dx.doi.org/10.1109/milcom.2007.4454788.

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Zhang, Yu. "Computer network security early warning system based on network behavior." In International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022), edited by Tok Wang Ling. SPIE, 2022. http://dx.doi.org/10.1117/12.2653235.

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Wijesinghe, Lanka, Prasanga Siriwardena, Sameera Wijeratne, Harsha Purasinghe, and Dileeka Dias. "Disaster and Emergency Warning Network (DEWN): Harnessing Cellular Technologies for Early Warning Dissemination." In 2011 IEEE Global Humanitarian Technology Conference (GHTC). IEEE, 2011. http://dx.doi.org/10.1109/ghtc.2011.52.

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Sun, Lin. "Identification-Dissemination-Warning: Algorithm and Prediction of Early Warning of Network Public Opinion." In PRIS 2023: 2023 5th International Conference on Pattern Recognition and Intelligent Systems. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3609703.3609723.

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Zhao Yan, Huang Min, and Han Ming. "Study of early warning for servo-mechanism faults." In 2011 International Conference on Computer Science and Network Technology (ICCSNT). IEEE, 2011. http://dx.doi.org/10.1109/iccsnt.2011.6182344.

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Reports on the topic "Radiation early warning network"

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Boyd, G. M. Sandia Lightning Early Warning Network: Digital-based upgrade. Office of Scientific and Technical Information (OSTI), May 1994. http://dx.doi.org/10.2172/10148433.

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Bowman, Steve, Relu Burlacu, John Crofts, Debi Kilb, Keith Koper, Emily Morton, and Debbie Worthen. On the Feasibility of Implementing an Earthquake Early Warning (EEW) System in Utah. Utah Geological Survey, January 2024. http://dx.doi.org/10.34191/eew-2023.

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The Utah Legislature, in the 2022 General Session, appropriated funding to study the feasibility of implementing an Earthquake Early Warning (EEW) system in Utah. Funding was provided to the three primary agencies in the Utah Earthquake Program—the Utah Division of Emergency Management (UDEM), the Utah Geological Survey (UGS), and the University of Utah Seismograph Stations (UUSS). The study consisted of four main activities: (1) reviewing the history and development of EEW systems within the U.S. and around the world; (2) assessing the potential performance of an EEW system in Utah; (3) determining what enhancements to the existing Utah seismic network would be needed to implement an EEW system; and (4) conducting an online survey of Utah stakeholders to assess their knowledge of and potential interest in an EEW system.
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Perera, Duminda, Ousmane Seidou, Jetal Agnihotri, Mohamed Rasmy, Vladimir Smakhtin, Paulin Coulibaly, and Hamid Mehmood. Flood Early Warning Systems: A Review Of Benefits, Challenges And Prospects. United Nations University Institute for Water, Environment and Health, August 2019. http://dx.doi.org/10.53328/mjfq3791.

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Floods are major water-related disasters that affect millions of people resulting in thousands of mortalities and billiondollar losses globally every year. Flood Early Warning Systems (FEWS) - one of the floods risk management measures - are currently operational in many countries. The UN Office for Disaster Risk Reduction recognises their importance and strongly advocates for an increase in their availability under the targets of the Sendai Framework for Disaster Risk Reduction, and Sustainable Development Goals (SDGs). However, despite widespread recognition of the importance of FEWS for disaster risk reduction (DRR), there’s a lack of information on their availability and status around the world, their benefits and costs, challenges and trends associated with their development. This report contributes to bridging these gaps by analyzing the responses to a comprehensive online survey with over 80 questions on various components of FEWS (risk knowledge, monitoring and forecasting, warning dissemination and communication, and response capabilities), investments into FEWS, their operational effectiveness, benefits, and challenges. FEWS were classified as technologically “basic”, “intermediate” and “advanced” depending on the existence and sophistication of FEWS` components such as hydrological data = collection systems, data transfer systems, flood forecasting methods, and early warning communication methods. The survey questionnaire was distributed to flood forecasting and warning centers around the globe; the primary focus was developing and least-developed countries (LDCs). The questionnaire is available here: https://inweh.unu.edu/questionnaireevaluation-of-flood-early-warning-systems/ and can be useful in its own right for similar studies at national or regional scales, in its current form or with case-specific modifications. Survey responses were received from 47 developing (including LDCs) and six developed countries. Additional information for some countries was extracted from available literature. Analysis of these data suggests the existence of an equal number of “intermediate” and “advanced” FEWS in surveyed river basins. While developing countries overall appear to progress well in FEWS implementation, LDCs are still lagging behind since most of them have “basic” FEWS. The difference between types of operational systems in developing and developed countries appear to be insignificant; presence of basic, intermediate or advanced FEWS depends on available investments for system developments and continuous financing for their operations, and there is evidence of more financial support — on the order of USD 100 million — to FEWS in developing countries thanks to international aid. However, training the staff and maintaining the FEWS for long-term operations are challenging. About 75% of responses indicate that river basins have inadequate hydrological network coverage and back-up equipment. Almost half of the responders indicated that their models are not advanced and accurate enough to produce reliable forecasts. Lack of technical expertise and limited skilled manpower to perform forecasts was cited by 50% of respondents. The primary reason for establishing FEWS, based on the survey, is to avoid property damage; minimizing causalities and agricultural losses appear to be secondary reasons. The range of the community benefited by FEWS varies, but 55% of FEWS operate in the range between 100,000 to 1 million of population. The number of flood disasters and their causalities has declined since the year 2000, while 50% of currently operating FEWS were established over the same period. This decline may be attributed to the combined DRR efforts, of which FEWS are an integral part. In lower-middle-income and low-income countries, economic losses due to flood disasters may be smaller in absolute terms, but they represent a higher percentage of such countries’ GDP. In high-income countries, higher flood-related losses accounted for a small percentage of their GDP. To improve global knowledge on FEWS status and implementation in the context of Sendai Framework and SDGs, the report’s recommendations include: i) coordinate global investments in FEWS development and standardise investment reporting; ii) establish an international hub to monitor the status of FEWS in collaboration with the national responsible agencies. This will support the sharing of FEWS-related information for accelerated global progress in DRR; iii) develop a comprehensive, index-based ranking system for FEWS according to their effectiveness in flood disaster mitigation. This will provide clear standards and a roadmap for improving FEWS’ effectiveness, and iv) improve coordination between institutions responsible for flood forecasting and those responsible for communicating warnings and community preparedness and awareness.
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Frish. PR-319-084511-R01 Advanced Development of Proactive Infrasonic Gas Pipeline Evaluation Network (PIGPEN). Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), March 2014. http://dx.doi.org/10.55274/r0010816.

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A third party damage prevention warning system must have the following important attributes; the ability to accurately detect excavating activity in dense, noisy and high traffic areas, low maintenance requirements, be relatively easy to install, provide 24/7 coverage, and exhibit a low rate of false alarms. Systems that detect and quickly notify of encroachment or insufficient practices near gas pipelines would enable pipeline operators to take actions to avoid damage incidents. Early warning provides pipeline owners the ability to respond to an intrusion in time to prevent pipeline damage, and preclude incurring the additional cost and risk of repairs. The pipeline intrusion warning system being developed in this project addresses this need. Its benefits will include: 1) increased safety, 2) reduced number of third party damages to pipelines, 3) reduced system downtime and customer disruption, 4) reduced costs of damage repair, 5) improved communication between the equipment operators and the utility operators, and 6) longer life and improved integrity of the pipeline infrastructure. This report summarizes and documents a program completed by Physical Sciences Inc., Heath Consultants, American Innovations Inc. and NYSEARCH/Northeast Gas Association with co-funding from the US Department of Transportation Pipeline and Hazardous Materials Safety Administration (PHMSA) and the Pipeline Research Council International (PRCI-Year 1 only). The report is also available from DOT PHMSA Contract # DTPH56-08-T-000019
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Wilson, A. M., and M. C. Kelman. Assessing the relative threats from Canadian volcanoes. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328950.

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This report presents an analysis of the threat posed by active volcanoes in Canada and outlines directives to bring Canadian volcano monitoring and research into alignment with global best practices. We analyse 28 Canadian volcanoes in terms of their relative threat to people, aviation and infrastructure. The methodology we apply to assess volcanic threat was developed by the United States Geological Survey (USGS) as part of the 2005 National Volcano Early Warning System (NVEWS). Each volcano is scored on a number of hazard and exposure factors, producing an overall threat score. The overall threat scores are then assigned to five threat categories ranging from Very Low to Very High. We adjusted the methodology slightly to better suit Canadian volcano conditions by adding an additional knowledge uncertainty score; this does not affect the threat scoring or ranking. Our threat assessment places two volcanoes into the Very High threat category (Mt. Meager and Mt. Garibaldi). Three Canadian volcanoes score in the High threat category (Mt. Cayley, Mt. Price and Mt. Edziza) and two volcanoes score in the Moderate threat category (the Nass River group and Mt. Silverthrone). We compare the ranked Canadian volcanoes to similarly scored volcanoes in the USA and assess the current levels of volcano monitoring against internationally recognised monitoring strategies. We find that even the most thoroughly-studied volcano in Canada (Mt. Meager) falls significantly short of the recommended monitoring level (Mt. Meager is currently monitored at a level commensurate with a Very Low threat edifice, according to NVEWS recommendations). All other Canadian volcanoes are unmonitored (other than falling within a regional seismic network emplaced to monitor tectonic earthquakes). Based on the relative threat and scientific uncertainty surrounding some Canadian volcanoes, we outline five strategies to improve volcano monitoring in Canada and lower the uncertainty about eruption style and frequency: installation of real-time seismic stations at all Very High and High threat volcanoes, comprehensive lithofacies studies at Mt. Garibaldi in order to reduce uncertainty surrounding the frequency and style of volcanism, hazard mapping at Mt. Garibaldi and Mt. Cayley and publication of existing hazard analyses and mapping for Mt. Meager as a comprehensive hazard map, regular satellite-based ground deformation monitoring at all Very High to Moderate threat edifices, and, finally, installation of a landslide detection and alerting system at Mt. Meager.
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Wilson, A. M., and M. C. Kelman. Assessing the relative threats from Canadian volcanoes. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328950.

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This report presents an analysis of the threat posed by active volcanoes in Canada and outlines directives to bring Canadian volcano monitoring and research into alignment with global best practices. We analyse 28 Canadian volcanoes in terms of their relative threat to people, aviation and infrastructure. The methodology we apply to assess volcanic threat was developed by the United States Geological Survey (USGS) as part of the 2005 National Volcano Early Warning System (NVEWS). Each volcano is scored on a number of hazard and exposure factors, producing an overall threat score. The overall threat scores are then assigned to five threat categories ranging from Very Low to Very High. We adjusted the methodology slightly to better suit Canadian volcano conditions by adding an additional knowledge uncertainty score; this does not affect the threat scoring or ranking. Our threat assessment places two volcanoes into the Very High threat category (Mt. Meager and Mt. Garibaldi). Three Canadian volcanoes score in the High threat category (Mt. Cayley, Mt. Price and Mt. Edziza) and two volcanoes score in the Moderate threat category (the Nass River group and Mt. Silverthrone). We compare the ranked Canadian volcanoes to similarly scored volcanoes in the USA and assess the current levels of volcano monitoring against internationally recognised monitoring strategies. We find that even the most thoroughly-studied volcano in Canada (Mt. Meager) falls significantly short of the recommended monitoring level (Mt. Meager is currently monitored at a level commensurate with a Very Low threat edifice, according to NVEWS recommendations). All other Canadian volcanoes are unmonitored (other than falling within a regional seismic network emplaced to monitor tectonic earthquakes). Based on the relative threat and scientific uncertainty surrounding some Canadian volcanoes, we outline five strategies to improve volcano monitoring in Canada and lower the uncertainty about eruption style and frequency: installation of real-time seismic stations at all Very High and High threat volcanoes, comprehensive lithofacies studies at Mt. Garibaldi in order to reduce uncertainty surrounding the frequency and style of volcanism, hazard mapping at Mt. Garibaldi and Mt. Cayley and publication of existing hazard analyses and mapping for Mt. Meager as a comprehensive hazard map, regular satellite-based ground deformation monitoring at all Very High to Moderate threat edifices, and, finally, installation of a landslide detection and alerting system at Mt. Meager.
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Weissinger, Rebecca, and Dana Witwicki. Riparian monitoring of wadeable streams at Courthouse Wash, Arches National Park: Summary report, 2010–2019. Edited by Alice Wondrak Biel. National Park Service, November 2021. http://dx.doi.org/10.36967/nrr-2287907.

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The goal of Northern Colorado Plateau Network (NCPN) riparian monitoring is to determine long-term trends in hydrologic, geomorphic, and vegetative properties of wadeable streams in the context of changes in other ecological drivers, stressors, and processes. This information is intended to provide early warning of resource degradation and determine natural variability of wadeable streams. This report summarizes NCPN monitoring of Courthouse Wash in Arches National Park (NP) from 2010 to 2019. The focus of this report is to (1) present geomorphology and vegetation data from five reaches monitored in Courthouse Wash from 2010 to 2015, and (2) examine patterns in water availability at one monitoring reach from November 2010 to December 2019. Vegetation sampling and geomorphology surveys were suspended in 2016 due to budget cuts; this report presents baseline data for future comparisons. The NCPN has five monitoring reaches located between the inflow of Sevenmile Canyon, a major tributary, and the terminus of Courthouse Wash, at the Colorado River. Two reaches (2, 5) are located in Upper Courthouse Wash, and three (1, 4, 7) in Lower Courthouse Wash. Hydrologic monitoring wells are installed only at Reach 1. During our monitoring period, which included drought years in 2012 and 2018 and a wetter-than-average period from fall 2013 to 2014, groundwater levels showed steep declines corresponding to the start of the growing season each year. Hot, dry summers and falls in 2012, 2018, and 2019 showed the deepest troughs in groundwater levels. Active monsoon years helped elevate summer and fall groundwater levels in 2013 and 2014. Continued monitoring will help us better understand the relationship of climate and water availability at this reach. A geomorphic survey was completed once for reaches 2, 4, and 7, and twice for reaches 5 and 1. Powerful floods during our monitoring period resulted in aggradation of the channel in reaches 5 and 1, which were first surveyed in March 2013. Flooding in September 2013 resulted in an average of 0.24 meters of deposition found in the channel thalweg at Reach 1 in March 2014. Storm events in May 2014 caused additional aggradation. In March 2015, an average of 0.41 meters of deposition was recorded in the channel thalweg at Reach 5, with 0.32 meters of deposition between the vegetation transect headpins compared to the 2013 data. The riparian vegetation recorded at our monitoring reaches is consistent with an open-canopy Fremont cottonwood woodland with a diverse understory. Canopy closure ranged from 29% to 52%. Measurements were sensitive enough to detect a 10% reduction in canopy closure at Reach 5 during a pest infestation in June 2013. Canopy closure subsequently rebounded at the reach by 2015. Total obligate and facultative wetland cover ranged from 7% to 26%. Fremont cottonwood seedlings, saplings, and overstory trees were present at all reaches, indicating good potential for future regeneration of the canopy structure. These data can serve as a baseline for comparison with future monitoring efforts. One area of management concern is that exotic-plant frequency and cover were relatively high in all monitoring reaches. Exotic cover ranged from 2% to 30%. High exotic cover was related to years with high cover of annual brome grasses. High cover of exotic grasses is associated with increased wildfire risk in southwestern riparian systems, which are not well-adapted to fire. Managers should be prepared for this increased risk following wet winters that promote annual brome grass cover. Beaver activity was noted throughout bedrock-constrained reaches in Courthouse Wash. Beaver activity can reduce adjacent woody riparian vegetation cover, but it also contributes to maintaining a higher water table and persistent surface water. Climate change is likely to be an increasingly significant stressor in Courthouse Wash, as hotter, drier conditions decrease water levels and increase drought stress...
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Livensperger, Carolyn, Rebecca Weissinger, Luke Gommermann, and Alice Wondrak Biel. Riparian monitoring of wadeable streams on the Fremont River, Capitol Reef National Park, 2009?2021. National Park Service, 2023. http://dx.doi.org/10.36967/2301391.

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The goal of Northern Colorado Plateau Network (NCPN) riparian monitoring is to deter-mine long-term trends in hydrologic, geomorphic, and vegetative properties of wadeable streams in the context of changes in other ecological drivers, stressors, and processes. This information is intended to provide early warning of resource degradation and determine natural variability of wadeable streams. This report summarizes NCPN monitoring of the Fremont River in Capitol Reef National Park (NP) from water years 2009 to 2021. The focus of this report is to (1) examine patterns in water availability at one monitoring reach from 2010 to 2021, and (2) present geomorphology and vegetation data from four reaches monitored from 2009 to 2021. Vegetation sampling and geomorphology surveys were completed at varying intervals throughout the time period; this report looks at changes within single reaches and establishes a baseline for future comparisons. There are four monitoring reaches established on the Fremont River: (1) F-01, approximately 2.5 kilometers upstream of a knickpoint (sharp change in channel slope) and associated waterfall that emerged following construction of State Highway 24 in 1964, (2) F-07, in a large oxbow that was cut off due to the highway construction, (3) F-04, approximately 1.5 kilometers downstream of the knickpoint, and (4) F-14, approximately 4.8 kilometers downstream of the knickpoint. Geomorphic and vegetation surveys took place at all reaches. Hydrologic monitoring occurred only at F-01. From 2001 to 2021, the entire range of flows recorded at a gaging station on the Fremont River upstream of the park near Bicknell, Utah, decreased, with the steepest decreases occurring in the highest flow percentiles. Continuous hydrologic monitoring at reach F-01 in the park from 2010 to 2021 showed perennial flows in the Fremont River, with lower flows during the irrigation season (April 1?October 31). The irrigation season was also characterized by greater evapotranspiration, which may be exacerbated in the future due to higher air temperatures. Lower observed inputs and greater evapotranspiration suggest the Fremont River is at risk for progressively lower flows over time. While overbank flows occurred infrequently in the monitoring reach, inhibiting cottonwood recruitment, groundwater levels remained shallow enough to support mature cottonwood trees. Protecting spring snowmelt flows of 94 cfs (the average annual maximum 14-day rolling mean at reach F-01), or greater should maintain the current wetland vegetated zone. Maintaining the hydrologic record was challenging due to high-magnitude flood events and turbid flows; the park should consider a gaging station for an accurate discharge record. Geomorphic surveys showed net sediment deposition at reaches F-01 and F-14 in the channels, banks, and floodplains from 2009 to 2021, with more deposition occurring earlier in the study period. A large flood event in 2013 resulted in high flows and deposition of close to one meter at F-01. Only localized erosion occurred, and thalweg surveys showed that stream channels were either stable or increasing in elevation. Reach F-07, the abandoned oxbow, exhibited little geomorphic change over the study period. Riparian vegetation was characteristic of a Fremont cottonwood woodland, with canopy closure up to 30% and a mixed understory of shrubs and herbaceous species. Obligate wetland vegetation cover of 5%?10% was present at reaches F-01, F-04, and F-14. Reach F-07, in the oxbow, has transitioned to an upland system, with little to no canopy cover and no obligate wetland species. While mature cottonwoods were present in reaches F-01, F-04, and F-14, there was limited evidence of seedlings or saplings graduating into larger size classes. Cottonwood seedlings are primarily resprouts from beaver-browsed trees, although one seedling recruitment event was observed in 2014, following high flows in late 2013. Protecting some cottonwoods with chicken wire may help protect the larger size classes and maintain a mixed-age woodland. Exotic plant species cover was less than 10% in reaches F-01, F-04, and F-14. Efforts to control Russian olive (Eleagnus angustifolia) along the Fremont River appear to have been successful in these reaches. In reach F-07, exotic plant cover ranged from 9% to 25%, with notable spikes in Russian thistle (Salsola tragus) and cheatgrass (Bromus tectorum) in 2010 and 2011, respectively.
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