Relevant bibliographies by topics / Early Warnig System

Academic literature on the topic 'Early Warnig System'

Author: Grafiati
Published: 14 March 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Contents

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Early Warnig System.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Early Warnig System"

1

LEE, EUI BHIN, and Dong Ha Kim. "A Study on the Early Warning System in the United States for the Prevention of School Dropouts." Korean Juvenile Protection Review 31, no. 4 (November 30, 2018): 129–58. http://dx.doi.org/10.35930/kjpr.31.4.5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Ranguelov, Boyko. "Marinegeohazards project – an early warning system in the BLACK SEA." Journal scientific and applied research 1, no. 1 (March 3, 2012): 14–22. http://dx.doi.org/10.46687/jsar.v1i1.11.

Full text
Abstract:
The general frame of the BG-ROM MARINEGEOHAZARDS Project is considered. The Project is about set-up and implementation of the key core components of a regional early-warning system for marine geohazards of risk to the Romanian-Bulgarian Black Sea costal area The main focus is on the data and informa-tion about the investigations related to the creation of the marine geo hazards early warning system. The target topics are on the earthquakes, landslides, tsunamis, floods and similar natural hazards. Maps and schemas about the main hazards have been created for the Bulgaria-Romania cross border area – both in marine and coastal environment. The typology and quantification of the hazards and their dangerous elements support the key core elements selection and the infrastructure of the early warning system targeted to the population and society safety.
APA, Harvard, Vancouver, ISO, and other styles
3

陳厚全, 陳厚全, and 徐永年 Hou-Chaung Chen. "建置全院性「智慧化、行動化臨床早期預警系統(Early Warning System, EWS)」." 醫療品質雜誌 16, no. 5 (September 2022): 026–31. http://dx.doi.org/10.53106/199457952022091605004.

Full text
Abstract:
<p>在醫療機構導入早期預警系統(Early Warning System, EWS)是全世界醫療照護的趨勢之一。本院獲得英國皇家醫師學會(Royal College of Physicians, RCP)授權，導入其發展的臨床早期預警系統(National Early Warning System, ver. 2, NEWS2)，並於2020年7月在醫院全面建置。</p> <p>本院自行開發的智慧化、行動化EWS除包含NEWS2外，亦納入ISBAR、qSOFA、互動式團隊溝通及社交媒體(LINE)實名登錄EWS的資安機制。除此之外，也調整醫療照護模式，建立EWS監控中心、臨床督導團隊(Medical Audit Team, MAT)及緊急應變團隊(Rapid Response Team, RRT)，能夠及早介入病情惡化病人的臨床治療，避免演變成醫療意外事故。</p> <p>導入EWS後的成果：1.非預期急救事件發生率降低31%、急救後死亡率降低50%；2.可即時掌握病人生理資訊，促進醫護溝通。</p> <p>&nbsp;</p><p>Implementation of early warning systems (EWSs) in medical institutions has become a healthcare trend worldwide. The case hospital received authorization from the Royal College of Physicians to implement its National Early Warning System ver. 2 (NEWS2). The hospital-wide implementation of the system was completed in July 2020. </p> <p>The hospital developed its own smart and mobile EWS system, in addition to NEWS2, and also adopted the ISBAR (identification, situation, background, assessment, recommendations) tool, the qSOFA (quick Sequential Organ Failure Assessment), interactive team communication, and used the LINE real-name registration mechanism to protect patient data. Also modified the hospital&rsquo;s healthcare workflow to establish an EWS monitoring center, medical audit team, and rapid response teams, helping patients with deteriorated conditions to receive timely clinical retreatment to prevent medical accidents. </p> <p>After the EWSs were implemented, the incidence rate of unexpected CPR decreased by 31%, the mortality rate after CPR decreased by 50% as well as helped healthcare providers were well-timed to obtain patients’ physical information, and facilitate interprofessional communication.</p> <p>&nbsp;</p>
APA, Harvard, Vancouver, ISO, and other styles
4

Rajamäki, Jyri, and Vasilis Katos. "Information Sharing Models for Early Warning Systems of Cybersecurity Intelligence." Information & Security: An International Journal 46, no. 2 (2020): 198–214. http://dx.doi.org/10.11610/isij.4614.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Debauche, Olivier, Meryem Elmoulat, Saïd Mahmoudi, Sidi Ahmed Mahmoudi, Adriano Guttadauria, Pierre Manneback, and Frédéric Lebeau. "Towards Landslides Early Warning System With Fog - Edge Computing And Artificial Intelligence**." Journal of Ubiquitous Systems and Pervasive Networks 15, no. 02 (March 1, 2021): 11–17. http://dx.doi.org/10.5383/juspn.15.02.002.

Full text
Abstract:
Landslides are phenomena that cause significant human and economic losses. Researchers have investigated the prediction of high landslides susceptibility with various methodologies based upon statistical and mathematical models, in addition to artificial intelligence tools. These methodologies allow to determine the areas that could present a serious risk of landslides. Monitoring these risky areas is particularly important for developing an Early Warning Systems (EWS). As matter of fact, the variety of landslides’ types make their monitoring a sophisticated task to accomplish. Indeed, each landslide area has its own specificities and potential triggering factors; therefore, there is no single device that can monitor all types of landslides. Consequently, Wireless Sensor Networks (WSN) combined with Internet of Things (IoT) allow to set up large-scale data acquisition systems. In addition, recent advances in Artificial Intelligence (AI) and Federated Learning (FL) allow to develop performant algorithms to analyze this data and predict early landslides events at edge level (on gateways). These algorithms are trained in this case at fog level on specific hardware. The novelty of the work proposed in this paper is the integration of Federated Learning based on Fog-Edge approaches to continuously improve prediction models.
APA, Harvard, Vancouver, ISO, and other styles
6

Zain, Noor Hayati Mohd. "Toward Rainfall Prediction Model for Early Warning System of Flood Disaster in Malaysia." Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (March 31, 2020): 541–50. http://dx.doi.org/10.5373/jardcs/v12sp4/20201520.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Pisz, Iwona. "System wczesnego ostrzegania w zarządzaniu projektami jako narzędzie wspomagania osiągania sukcesu projektu." Gospodarka Materiałowa i Logistyka 2020, no. 3 (March 20, 2020): 39–44. http://dx.doi.org/10.33226/1231-2037.2020.3.6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Almén, Casper, Nicholas Hagström, and Jyri Rajamäki. "ECHO Early Warning System as a Preventive Tool against Cybercrime in the Energy Sector." Information & Security: An International Journal 53 (2022): 11–20. http://dx.doi.org/10.11610/isij.5301.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Kraus, Josef. "Religious Extremism as a Cause of Armed Conflicts: Indicators and Early Warning Systems." Vojenské rozhledy 28, no. 4 (September 9, 2019): 16–25. http://dx.doi.org/10.3849/2336-2995.28.2019.03.016-025.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

PL, Ortiz Bulto. "Cuban Approaches to Climate and Health Studies in Tropics Early Warning System and Learned Lessons." Virology & Immunology Journal 5, no. 3 (August 2, 2021): 1–7. http://dx.doi.org/10.23880/vij-16000282.

Full text
Abstract:
Infectious diseases are sensitive to variations and climate change, causing impacts on health systems in the countries. Current climatic conditions favor the appearance of outbreaks and the circulation of new viruses such as SARS COV2. To alert such dangers, the creation of specialized warning systems for the health sector from climatic conditions is currently a global priority. This requires intense collaboration between medical and environmental communication, with new work approaches and methods for forecasting, using integrated climatic and epidemiological information. The objective of this publication is to show the advances and experience of Cuban research and projections, in terms of approaches and methodological procedures for the studies of the relationships between climate and health for forecasting purposes. An Early Warning System for infectious diseases and their causative agents was created. This warning system strengthens the health sector surveillance system for decision-making
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Early Warnig System"

1

Conner, Christine. "Evaluating the Impact of an Early Warning Scoring System in a Community Hospital Setting." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/4846.

Full text
Abstract:
Failure to recognize and respond to early signs of deterioration in hospitalized patients can have significant implications associated with delays in treatment. This lack of recognition was the impetus for rapid response teams in the United States and the recommendation by the Institute of Healthcare Improvement for use of early warning scores. This project was designed to evaluate the pilot implementation of an early warning score on 2 units in a community hospital in the Northeast. The practice-focused question was used to explore how patient outcomes changed following implementation of an early warning score (EWS) compared to patient outcomes associated with a rapid response team alone. The translating evidence into practice model informed this project. Supporting evidence from existing hospital data was collected for rapid response, code blue, and mortality. Analysis using the chi-square test of homogeneity compared post-implementation with baseline data. The findings indicated the differences between the proportions were not statistically significant, indicating the metrics did not change appreciably following the implementation of the early warning score. While the evaluation analytics of this pilot did not demonstrate significant change in the outcome measures post-implementation, the results may be useful for the facility when performing a future evaluation of the EWS. It is possible that the results of the 2 units were not representative of the facility, and it is therefore recommended to repeat the evaluation using data from the entire facility for a longer period. Increasing the capacity for early recognition in decline has implications for social change through improvement in safety and quality of health care for all hospitalized patients.
APA, Harvard, Vancouver, ISO, and other styles
2

Wu, Jun. "An early warning system for currency crises /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?ECON%202007%20WU.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Jadi, Amr. "An early warning system for risk management." Thesis, De Montfort University, 2013. http://hdl.handle.net/2086/9659.

Full text
Abstract:
Risk management in healthcare has solved a wide range of healthcare-related issues in Saudi Arabia. However, the limitation of risk management teams working under special conditions (needing to solve critical health-related issues) has highlighted the urgent need for an early risk warning system (ERWS) in healthcare. The influences of changing weather conditions demand that diabetic patients and doctors in Saudi Arabia have a continuous check on health conditions. The number of diabetic patients is increasing rapidly in Saudi Arabia. Hence, risk management teams in healthcare must be supported with a system that alerts to changes before the changes become a significant risk/problem. Our proposed approach does the following: 1) predicts changes in BP and blood sugar level within hospital environment at runtime. 2) Continually checks patient health status with respect to health condition at runtime. 3) Alerts to the changes as detected (e.g. risk or unknown parameter), and also provides feedback for patient and doctor. We present a computational model that defines the interaction and communication of the system components and describes the prediction and checking process in our proposed approach. We designed the architecture for our proposed approach with respect to the computational model. The thesis proposes an early risk warning system approach, which predicts and checks patient health conditions with respect to the ideal conditions according to medical standards. The health status of a patient will be communicated to doctors and patients on an emergency note if the predicted values are outside normal conditions. In this way, the risk can be mitigated before the occurrence of damage to patient health at runtime. To implement the proposed approach, neural networks is used for developing the prediction component using Java programming. The results of this research successfully predicted the health condition of a patient by checking outputs against medical standards. The risks defined in this research include hyperglycaemia, hypoglycaemia, hypertension and hypotension. Appropriate results were obtained for almost every patient when checked with four input parameters for 200 patients. Consistent results were produced by the risk prediction component and the alerts were generated after every five (5) seconds to communicate to the patients and doctors at runtime. Health status of all 200 patients can also be seen to check the changes in health conditions in the hospital environment. Finally, a case study with different scenarios based on changes in patient health status with respect to ideal conditions revealed evaluated the approach.
APA, Harvard, Vancouver, ISO, and other styles
4

Barbosa, Jorge Henrique de Frias. "Early Warning System para distress bancário no Brasil." reponame:Repositório Institucional da UnB, 2017. http://repositorio.unb.br/handle/10482/24912.

Full text
Abstract:
Tese (doutorado)—Universidade de Brasília, Faculdade de Economia, Administração e Contabilidade e Gestão Pública, Programa de Pós-Graduação em Administração, 2017.
Submitted by Raquel Almeida (raquel.df13@gmail.com) on 2017-10-24T17:50:03Z No. of bitstreams: 1 2017_JorgeHenriquedeFriasBarbosa.pdf: 3875803 bytes, checksum: 2fd1608eb0ac0d76f29b924898b06b59 (MD5)
Approved for entry into archive by Raquel Viana (raquelviana@bce.unb.br) on 2017-10-31T12:15:52Z (GMT) No. of bitstreams: 1 2017_JorgeHenriquedeFriasBarbosa.pdf: 3875803 bytes, checksum: 2fd1608eb0ac0d76f29b924898b06b59 (MD5)
Made available in DSpace on 2017-10-31T12:15:52Z (GMT). No. of bitstreams: 1 2017_JorgeHenriquedeFriasBarbosa.pdf: 3875803 bytes, checksum: 2fd1608eb0ac0d76f29b924898b06b59 (MD5) Previous issue date: 2017-10-31
Esta tese é composta por três artigos que cobrem tópicos sobre o tema de early warning system para crises bancárias e distress bancário: uma pesquisa bibliométrica sobre early warning system (EWS) para crises bancárias e distress, um estudo empírico que estima um early warning system para distress de bancos brasileiros com regressão logística e um estudo empírico que constrói um early warning system com técnicas de aprendizagem de máquina supervisionada. O primeiro artigo apresenta um panorama do estado da literatura sobre EWS para crises bancárias e distress bancário por meio de uma revisão bibliométrica da literatura apresentando as principais ideias, principais conceitos, principais relacionamentos com outros tipos de crises, principais métodos utilizados, principais indicadores de crises e de distress. Foi realizada uma pesquisa em nas bases da Scopus e da Web of Science, onde, a partir de critérios de seleção, foram encontrados 124 artigos que foram devidamente classificados e codificados mediante importantes critérios para a área de estudo. Foi apresentado a evolução dos estudos na área, as gerações e tipos de EWS e os principais indicadores micro e macroprudencias apresentados pelos estudos da amostra. Como um resultado das lacunas da literatura na área é proposta uma agenda estruturada, visando guiar novos estudos por meio da apresentação de lacunas com grande potencial para ser explorada e reforçar o estado da arte em EWS. Adicionalmente, os resultados demonstram que mais estudos são necessários em EWS com relação à determinação dos horizontes de tempo para as previsões do modelo, com relação a estudos que tratam da América do Sul, América Central e África. Futuros estudos também devem considerar a possibilidade de utilização de modelos de aprendizagem de máquina, inteligência artificial e métodos computacionais, pois ainda existem poucos estudos e os resultados são promissores. O segundo artigo contribuiu com algumas inovações, como a construção e utilização de uma nova base dados de eventos de distress de bancos brasileiros, incluindo 179 eventos considerados como distress bancário de acordo com a definição de ?, incluindo 8 casos de RAET, 9 casos de intervenção, um caso de PROER, 11 casos de privatizações, 32 casos de incorporação e fusão, 13 casos de transformação em outros tipos de instituições financeiras, 32 caso de transformação de bancos em outros tipos de instituições, 21 casos de cancelamento e 52 casos de liquidação extrajudicial. Foi construído um painel de dados a partir de 54.087 balancetes de 359 bancos, englobando o período de julho de 1994 a novembro de 2016, juntamente com dados do setor bancário brasileiro e dados macroeconômicos. Para tratar do problema de eventos raros. O presente estudo utilizou a abordagem SMOTE (Synthetic Minority Over-sampling Technique) que pode aumentar a performance do modelo em termos da área sob a curva ROC (Area under the Receiver Operating Characteristic curve - AUC), uma técnica que que maximiza a área sob a curva ROC (AUC - area under the curve). Outra contribuição do segundo estudo foia comparação de modelos de acordo com o horizonte de tempo das previsões, característica importante para um EWS. Verificou-se que o modelo com o horizonte de tempo de 6 meses foi o modelo com maior área sob a curva ROC, para os dados da amostra utilizada, considerando-se o período de julho de 1994 até novembro de 2016. No terceiro artigo, foram utilizadas duas técnicas de aprendizagem de máquina supervisionada para construir EWSs: random forest e SVM (support vector machines) que obtiveram resultados superiores ao modelo de regressão logística apresentado no segundo estudo. Ambos os modelos de aprendizagem de máquina superam a regressão logística, em termos de acurácia, área sob a curva AUC (Area Under the Curve –AUC), sensibilidade (valor preditivo positivo) e especificidade (valor preditivo negativo). E o modelo random forest também superou o SVM em termos de acurácia, área sob a curva (AUC), sensibilidade e especificidade. Verificou-se também que os modelos random forest apresentaram melhor qualidade de previsão com as janelas de tempo de 32 e 34 meses, mostrando-se adequados às necessidades das autoridades.
This thesis consistis of three articles covering topics in early warning system (EWS) for bank crises and distress: an empirical study that estimates an early warning system for distress of Brazilian banks with logistic regression and an empirical study that builds an early warning system with techniques Of supervised machine learning. The first article presents an overview of the literature on EWS for bank crises and bank distress through a bibliometric review of the literature presenting the main ideas, main concepts, main relationships with other types of crises, main methods used, main crisis indicators And distress. A survey was carried out in the databases of Scopus and the Web of Science, where, based on selection criteria, 124 articles were found that were duly classified and codified by important criteria for the study area. The evolution of the studies in the area, the generations and types of EWS and the main micro and macroprudential indicators presented by the sample studies were presented. As a result of the literature gaps in the area, a structured agenda is proposed, aimed at guiding new studies through the presentation of gaps with great potential to be explored and to reinforce the state of the art in EWS. In addition, the results demonstrate that more studies are needed in EWS regarding the determination of time horizons for model predictions, in relation to studies dealing with South America, Central America and Africa. Future studies should also consider the possibility of using machine learning models, artificial intelligence and computational methods, as there are still few studies and the results are promising. The article contributed some innovations such as the construction and use of a new database of distress events of Brazilian banks, including 179 events considered as bank distress according to the definition of ?, including 8 cases of RAET (Temporary Special Administration Scheme), 9 cases of intervention, one PROER (The Program of Incentives for the Restructuring and Strengthening of the National Financial System) case, 11 cases of privatization, 32 cases of incorporation and merger, 13 cases of transformation in other types of financial institutions, 32 cases of transformation of banks into other types of institutions, 21 cases of cancellation and 52 cases of extrajudicial liquidation. A data panel was constructed from 54,087 balance sheets of 359 banks, covering the period from July 1994 to November 2016, together with data from the Brazilian banking sector and macroeconomic data. In order to address the problem of rare events, the present study used the Synthetic Minority Over-sampling Technique (SMOTE) approach that can increase the model’s performance in terms of the Area under the Receiver Operating Characteristic curve (AUC), a technique that maximizes the area under the ROC curve (AUC). Another contribution of the second study was the comparison of models according to the time horizon of the forecasts, an important feature for an EWS. It was verified that the model with the time horizon of 6 months was the model with the largest area under the ROC curve, for the data of the sample used, considering the period from July 1994 to November 2016. In the third article, two supervised machine learning techniques were used to construct EWSs: random forest and SVM (support vector machines) that obtained results superior to the logistic regression model presented in the second study. Both models of machine learning outperform logistic regression in terms of accuracy, area under the AUC curve, sensitivity (positive predictive value) and specificity (negative predictive value). And the random forest model also surpassed the SVM in terms of accuracy, area under the curve (AUC), sensitivity and specificity. It was also verified that the random forest models presented better quality of prediction with the forecast time horizons of 32 and 34 months, being adapted to the needs of the authorities.
APA, Harvard, Vancouver, ISO, and other styles
5

Phinney, Robi. "Developing and Testing an Early Warning System to Improve High School Graduation." Thesis, University of Oregon, 2016. http://hdl.handle.net/1794/20440.

Full text
Abstract:
The nation has placed a spotlight on improving graduation rates for all students. The current study analyzed retrospective, longitudinal student data from the fifth largest school district in Oregon to create an Early Warning Indicator System (EWS) to identify students on track to graduate and those who are not. This study creates an EWS system using the student demographics and the ABC’s of (a) attendance, (b) behavior, and (c) coursework to identify students who are on track and those who are not. I employed logistic regression model to build a prediction model using middle school data (N = 2,041) that examined predictors established in sixth through eighth grade with high school graduation. The dependent variable, four-year graduation was coded as graduate or non-graduate. The independent variables were (a) gender, (b) race, (c) ELL status, (d) SPED Status (e) attendance rate, (f) ODR’s, and (g) number of F’s in English Language Arts and Mathematics. Attendance rate was the strongest predictor of high school graduation. Overall the model predicted graduates with 89.7% accuracy and non-graduates with 33.6% accuracy with the total model predicting 69.5% of graduates and non-graduates.
APA, Harvard, Vancouver, ISO, and other styles
6

Boulton, Christopher Andrew. "Early warning signals of environmental tipping points." Thesis, University of Exeter, 2015. http://hdl.handle.net/10871/18568.

Full text
Abstract:
This thesis examines how early warning signals perform when tested on climate systems thought to exhibit future tipping point behaviour. A tipping point in a dynamical system is a large and sudden change to the state of the system, usually caused by changes in external forcing. This is due to the state the system occupies becoming unstable, causing the system to settle to a new stable state. In many cases, there is a degree of irreversibility once the tipping point has been passed, preventing the system from reverting back to its original state without a large reversal in forcing. Passing tipping points in climate systems, such as the Amazon rainforest or the Atlantic Meridional Overturning Circulation, is particularly dangerous as the effects of this will be globally felt. Fortunately there is potential for early warning signals, designed to warn that the system is approaching a tipping point. Generally, these early warning signals are based on analysis of the time series of the system, such as searching for ‘critical slowing down’, usually estimated by an increasing lag-1 autocorrelation (AR(1)). The idea here is that as a system’s state becomes less stable, it will start to react more sluggishly to short term perturbations. While early warning signals have been tested extensively in simple models and on palaeoclimate data, there has been very little research into how these behave in complex models and observed data. Here, early warning signals are tested on climate systems that show tipping point behaviour in general circulation models. Furthermore, it examines why early warning signals might fail in certain cases and provides prospect for more ‘system specific indicators’ based on properties of individual tipping elements. The thesis also examines how slowing down in a system might affect ecosystems that are being driven by it.
APA, Harvard, Vancouver, ISO, and other styles
7

Ceolin, Junior Tarcisio. "CORRELAÇÃO DE ALERTAS EM UM INTERNET EARLY WARNING SYSTEM." Universidade Federal de Santa Maria, 2014. http://repositorio.ufsm.br/handle/1/5439.

Full text
Abstract:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Intrusion Detection Systems (IDS) are designed to monitor the computer network infrastructure against possible attacks by generating security alerts. With the increase of components connected to computer networks, traditional IDS are not capable of effectively detecting malicious attacks. This occurs either by the distributed amount of data that traverses the network or the complexity of the attacks launched against the network. Therefore, the design of Internet Early Warning Systems (IEWS) enables the early detection of threats in the network, possibly avoiding eventual damages to the network resources. The IEWS works as a sink that collects alerts from different sources (for example, from different IDS), centralizing and correlating information in order to provide a holistic view of the network. This way, the current dissertation describes an IEWS architecture for correlating alerts from (geographically) spread out IDS using the Case-Based Reasoning (CBR) technique together with IP Georeferencing. The results obtained during experiments, which were executed over the implementation of the developed technique, showed the viability of the technique in reducing false-positives. This demonstrates the applicability of the proposal as the basis for developing advanced techniques inside the extended IEWS architecture.
Sistemas de Detecção de Instrução (Intrusion Detection Systems IDS) são projetados para monitorar possíveis ataques à infraestruturas da rede através da geração de alertas. Com a crescente quantidade de componentes conectados na rede, os IDS tradicionais não estão sendo suficientes para a efetiva detecção de ataques maliciosos, tanto pelo volume de dados como pela crescente complexidade de novos ataques. Nesse sentido, a construção de uma arquitetura Internet Early Warning Systems (IEWS) possibilita detectar precocemente as ameaças, antes de causar algum perigo para os recursos da rede. O IEWS funciona como um coletor de diferentes geradores de alertas, possivelmente IDS, centralizando e correlacionado informações afim de gerar uma visão holística da rede. Sendo assim, o trabalho tem como objetivo descrever uma arquitetura IEWS para a correlação de alertas gerados por IDS dispersos geograficamente utilizando a técnica Case-Based Reasoning (CBR) em conjunto com Georreferenciamento de endereços IP. Os resultados obtidos nos experimentos, realizados sobre a implementação da técnica desenvolvida, mostraram a viabilidade da técnica na redução de alertas classificados como falsos-positivos. Isso demonstra a aplicabilidade da proposta como base para o desenvolvimento de técnicas mais apuradas de detecção dentro da arquitetura de IEWS estendida.
APA, Harvard, Vancouver, ISO, and other styles
8

Persson, Elias, and Martin Hautamäki. ""Buddy Tracker", an early warning system for recreational divers." Thesis, Karlstads universitet, Fakulteten för teknik- och naturvetenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-6386.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
10

Bardwell, Kristina, and Kristina Bardwell. "Evaluation of the Early Warning System at Banner Desert Medical Center." Diss., The University of Arizona, 2016. http://hdl.handle.net/10150/621108.

Full text
Abstract:
Purpose: The aim of this project was to evaluate data from a survey sent to nurses in regards to the current practices and workflow of the Early Warning System (EWS) currently in use at Banner Health. Methods: A descriptive cross-sectional design was used to collect feedback from Registered Nurses. The survey was open between February and March of 2016. Likert style and open-ended questions demonstrate evidence supporting the following study questions: 1) What are the barriers to documentation that triggers the EWS? 2) To what extent is the EWS useful and usable? 3) What were the features of the EWS implementation? Results: Findings demonstrated three barriers associated with EWS protocol compliance to include increased workload (78%), previous negative responses from providers (62%), and alert fatigue (48%). Provider responsiveness to notification of the Early Warning Score was shown to be effective "most of the time" and "about half of the time" at 71%, with 12% indicating "sometimes" and "never". Deployment of the Rapid Response Team (RRT) when indicated by EWS algorithm showed only 9 (14%) of nurses always call the RRT, 7 (11%) call about half the time, and 16% indicated they never use the RRT. "Real time" charting occurred 50-75% or less than 50% of the time for 96% of respondents. Open ended questions support recommendations for future practice to include: implementation of a pop up alert for easy recognition of changes in EWS, tailoring parameters based on individual patient characteristics, automatic direct paging to medical providers, and elimination of the level of consciousness parameter. A validated usability survey provided data with a mean response rate (n=58). Nurses (84%) agree the EWS is useful and usable. Ease of use, efficiency, and comfort with EWS software showed 90% agree. System interface responses demonstrate 23% dislike using the interface, and 21% felt the system interface was unpleasant.Conclusions: Findings demonstrate EWS system usability and usefulness. Recommendations for improvement include implementation of a "pop up" alert for easy recognition of changes in the Early Warning Score and/or automatic direct paging to medical providers and nursing will increase effective use. Barriers to EWS protocol documentation include increased workload, previous negative response from providers, and alert fatigue. "Real time" documentation of physiological parameters is essential to successful triggering of an Early Warning Score.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Early Warnig System"

1

Gasparini, Paolo, Gaetano Manfredi, and Jochen Zschau, eds. Earthquake Early Warning Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72241-0.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

1934-, Gasparini Paolo, Manfredi Gaetano Dr, and Zschau Jochen 1944-, eds. Earthquake early warning systems. Berlin: Springer, 2007.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

W, Long Maurice, ed. Airborne early warning system concepts. Boston: Artech House, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Erica, Dodd, De Decker Ludgard, and University of Victoria (B.C.). Centre for Studies in Religion and Society., eds. Art as an early-warning system. Victoria, B.C: University of Victoria, Centre for Studies in Religion and Society, 2000.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Ateya, Eltayeb Haj. Conflict early warning system for Sudan. Khartoum]: Peace Research Institute, University of Khartoum, 2006.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Thiebes, Benni. Landslide Analysis and Early Warning Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27526-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Blake, B. Jane's radar and early warning systems. Coulsdon: Jane's Information Group, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Noveria, Mita. Pengembangan "early warning system" dalam menghadapi krisis. [Jakarta]: Puslitbang Kependudukan dan Ketenagakerjaan, Lembaga Ilmu Pengetahuan Indonesia, 2000.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

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

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Airborne early warning radar. Boston: Artech House, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Early Warnig System"

1

Musavi, Syed Hyder Abbas. "Early Warning System." In Early Warning-Based Multihazard and Disaster Management Systems, 31–40. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, 2020.: CRC Press, 2019. http://dx.doi.org/10.1201/9780429319907-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Leonard, Graham S., Chris E. Gregg, and David M. Johnston. "Early Warning Systems." In Encyclopedia of Natural Hazards, 207–8. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-1-4020-4399-4_103.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Taneja, Aarti, Aniket Desai, and Ravi S. Jakka. "Earthquake Early Warning System." In Lecture Notes in Civil Engineering, 617–20. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6233-4_44.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Musavi, Syed Hyder Abbas. "Early Warning System Architecture." In Early Warning-Based Multihazard and Disaster Management Systems, 41–61. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, 2020.: CRC Press, 2019. http://dx.doi.org/10.1201/9780429319907-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Tondre, Françoise. "European Warning System." In Early Warning Systems for Natural Disaster Reduction, 465–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55903-7_60.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Siegel, Frederic R. "Early Warning Systems (EWSs)." In Mitigation of Dangers from Natural and Anthropogenic Hazards, 15–18. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-38875-5_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Kelman, Ilan, and Michael H. Glantz. "Early Warning Systems Defined." In Reducing Disaster: Early Warning Systems For Climate Change, 89–108. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-8598-3_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Wu, Peng, Lei Gao, and Qiong Wang. "Early Warning System for Finance." In Diversity of Managerial Perspectives from Inside China, 85–101. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-287-555-6_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Chatziadam, Panos, Ioannis G. Askoxylakis, Nikolaos E. Petroulakis, and Alexandros G. Fragkiadakis. "Early Warning Intrusion Detection System." In Trust and Trustworthy Computing, 222–23. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08593-7_22.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Ginzburg, Alexander, Valentina Svalova, Alexey Nikolaev, Anatoliy Manukin, and Vladimir Savosin. "Early-Warning Landslide Monitoring System." In Natural Hazards and Risk Research in Russia, 63–85. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91833-4_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Early Warnig System"

1

Nanni, Stefania, and Gianluca Mazzini. "Sensornet Early-warning System Integration." In 7th International Conference on Sensor Networks. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006533100770084.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Liu, Xiaoxu, Lin Cao, and Xiaoli Huang. "Highway Early Warning Information System." In 2010 2nd International Conference on Information Engineering and Computer Science (ICIECS). IEEE, 2010. http://dx.doi.org/10.1109/iciecs.2010.5677660.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Serkov, Alexander, Sergei Nikitin, Vladimir Kravchenko, and Vladimir Knyazev. "Thunderstorm hazards early warning system." In 2015 Second International Scientific-Practical Conference Problems of Infocommunications Science and Technology (PIC S&T). IEEE, 2015. http://dx.doi.org/10.1109/infocommst.2015.7357294.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Clark, Rob, and Doug Burghart. "Early Warning Frost Detection System." In Regional Conference on Permafrost 2021 and the 19th International Conference on Cold Regions Engineering. Reston, VA: American Society of Civil Engineers, 2021. http://dx.doi.org/10.1061/9780784483589.017.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Klafft, Michael, Tobias Kräntzer, Ulrich Meissen, and Agnès Voisard. "Early warning systems in practice." In the 17th ACM SIGSPATIAL International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1653771.1653838.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Singh, Rajat Deep, Poonam Kumari, Poornima Singh, and B. D. K. Patro. "Seismic early warning alert system (SEWAS)." In 2014 International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2014. http://dx.doi.org/10.1109/spin.2014.6777025.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Inayatulloh and Selvyna Theresia. "Early warning system for infectious diseases." In 2015 9th International Conference on Telecommunication Systems Services and Applications (TSSA). IEEE, 2015. http://dx.doi.org/10.1109/tssa.2015.7440435.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Cherian, Carathedathu Mathew, Nivethitha Jayaraj, and S. Ganesh Vaidyanathan. "Artificially Intelligent Tsunami Early Warning System." In 2010 UkSim 12th International Conference on Computer Modelling and Simulation (UKSim 2010). IEEE, 2010. http://dx.doi.org/10.1109/uksim.2010.16.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Scholberg, Kate. "SNEWS: The supernova early warning system." In Third edoardo amaldi conference on gravitational waves. AIP, 2000. http://dx.doi.org/10.1063/1.1291879.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Bhardwaj, Sumit, Shubham Vats, Jyoti Bhardwaj, Punit Gupta, and Arjun Singh. "Pulmonary Illness Detection Early Warning System." In 2021 Sixth International Conference on Image Information Processing (ICIIP). IEEE, 2021. http://dx.doi.org/10.1109/iciip53038.2021.9702616.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Early Warnig System"

1

Goldberg, Lawrence, and Dennis Kimko. An Army Enlistment Early Warning System. Fort Belvoir, VA: Defense Technical Information Center, May 2003. http://dx.doi.org/10.21236/ada418476.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Salisbury, J. B. Earthquake early warning system for Alaska: fact sheet. Alaska Division of Geological & Geophysical Surveys, May 2020. http://dx.doi.org/10.14509/30454.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Wright, Mark T., Daniel T. Gottuk, Jennifer T. Wong, Susan L. Rose-Pehrsson, and Sean Hart. Prototype Early Warning Fire Detection System: Test Series 1 Results. Fort Belvoir, VA: Defense Technical Information Center, September 2000. http://dx.doi.org/10.21236/ada382542.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Wright, Mark T., Daniel T. Gottuk, Jennifer T. Wong, Hung Pham, and Susan L. Rose-Pehrsson. Prototype Early Warning Fire Detection System: Test Series 2 Results. Fort Belvoir, VA: Defense Technical Information Center, October 2000. http://dx.doi.org/10.21236/ada383972.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Geng, Xin, Manuel A. Hernandez, and Carlos Martins-Filho. Excessive food price variability early warning system: Incorporating exogenous covariates. Washington, DC: International Food Policy Research Institute, 2021. http://dx.doi.org/10.2499/p15738coll2.134592.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

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.

Full text
Abstract:
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.
APA, Harvard, Vancouver, ISO, and other styles
7

Dandge, Ajay Ramlal, and Vishwas Vaidya. Early Warning System for Light Commercial Engines using EMOS (Engine MOnitoring System) Controller. Warrendale, PA: SAE International, September 2010. http://dx.doi.org/10.4271/2010-32-0120.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Blumstein, Carl, Lloyd Cibulka, James Thorp, Virgilio Centeno, Roger King, Kari Reeves, Frank Ashrafi, and Vahid Madani. Application of Advanced Wide Area Early Warning Systems with Adaptive Protection. Office of Scientific and Technical Information (OSTI), September 2014. http://dx.doi.org/10.2172/1184190.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Naeem, Ghazala, and Jamila Nawaz. Coastal Hazard Early Warning Systems in Pakistan: Tsunami and Cyclone Early Warning Dissemination: Gaps and Capacities in Coastal Areas of Balochistan and Sindh Provinces. Oxfam GB, November 2016. http://dx.doi.org/10.21201/2016.620148.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Nishino, Akihiko. Propose of Architecture Design for Early Warning System with Space and Terrestrial Infrastructure. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317284.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Early Warnig System' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography