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

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

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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3

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

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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 auton

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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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7

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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8

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<br>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 f

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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 lin

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Duncan, Andrew Paul. "The analysis and application of artificial neural networks for early warning systems in hydrology and the environment." Thesis, University of Exeter, 2014. http://hdl.handle.net/10871/17569.

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Artificial Neural Networks (ANNs) have been comprehensively researched, both from a computer scientific perspective and with regard to their use for predictive modelling in a wide variety of applications including hydrology and the environment. Yet their adoption for live, real-time systems remains on the whole sporadic and experimental. A plausible hypothesis is that this may be at least in part due to their treatment heretofore as “black boxes” that implicitly contain something that is unknown, or even unknowable. It is understandable that many of those responsible for delivering Early Warni

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PECCI, ANGELO. "Geoinformatic methodologies and quantitative tools for detecting hotspots and for multicriteria ranking and prioritization: application on biodiversity monitoring and conservation." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2010. http://hdl.handle.net/2108/1341.

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Chi ha la responsabilità di gestire un’area protetta non solo deve essere consapevole dei problemi ambientali dell’area ma dovrebbe anche avere a disposizione dati aggiornati e appropriati strumenti metodologici per esaminare accuratamente ogni singolo problema. In effetti, il decisore ambientale deve organizzare in anticipo le fasi necessarie a fronteggiare le prevedibili variazioni che subirà la pressione antropica sulle aree protette. L’obiettivo principale della Tesi è di natura metodologica e riguarda il confronto tra differenti metodi statistici multivariati utili per l’individuazione d

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Salika, Firas. "Système de télésurveillance "End-to-End" et méthodologie d'intervention des services d'urgence basée sur les SIG et l'utilisation de drones." Electronic Thesis or Diss., Brest, 2024. http://www.theses.fr/2024BRES0116.

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Les réseaux de capteurs corporels sans fil (WBSN) varient en termes de structure et d’objectifs. Très peu de recherches traitent d’un cadre End-to-End (E2E) qui génère des résultats utiles en utilisant tous ses composants. L’intervention est l’un des résultats importants et est souvent traitée comme une réponse passive en cas d’urgence soudaine. Dans cette recherche, un système d’intervention préventive est proposé à l’aide d’un véritable cadre de bout en bout dans le WBSN générant des données jusqu’à l’intervention par la prise de décision, en passant par la transmission des données, le trait

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14

Hostetter, Loic. "Forecast-based Humanitarian Action and Conflict : Promises and pitfalls of planning for anticipatory humanitarian response to armed conflict." Thesis, Uppsala universitet, Teologiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-388645.

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Practitioners of Forecast-based Action (FbA) argue that a humanitarian response able to utilize forecasts to accurately predict disaster, secure funding, and take action before the onset of a crisis will benefit donors and beneficiaries alike. In search of effective and efficient early-action regimes, a number of major humanitarian actors are developing FbA projects of various designs, predominantly in response to natural disaster and famine. While numerous organizations and institutions have expressed interest in developing FbA mechanisms, the tool has only been applied in a limited capacity

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NOTARANGELO, NICLA MARIA. "A Deep Learning approach for monitoring severe rainfall in urban catchments using consumer cameras. Models development and deployment on a case study in Matera (Italy) Un approccio basato sul Deep Learning per monitorare le piogge intense nei bacini urbani utilizzando fotocamere generiche. Sviluppo e implementazione di modelli su un caso di studio a Matera (Italia)." Doctoral thesis, Università degli studi della Basilicata, 2021. http://hdl.handle.net/11563/147016.

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In the last 50 years, flooding has figured as the most frequent and widespread natural disaster globally. Extreme precipitation events stemming from climate change could alter the hydro-geological regime resulting in increased flood risk. Near real-time precipitation monitoring at local scale is essential for flood risk mitigation in urban and suburban areas, due to their high vulnerability. Presently, most of the rainfall data is obtained from ground‐based measurements or remote sensing that provide limited information in terms of temporal or spatial resolution. Other problems may be due to t

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Quincy, James, and 簡崑西. "Developing a Smartphone based Earthquake Early Warning Network." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/z74wf2.

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碩士<br>國立交通大學<br>土木工程系所<br>105<br>Earthquake Early Warning [EEW] has become one of the forefront researches in seismology and signal processing in recent years. The key reason for this popularity is related to the great deal of application this research has in present day society since earthquakes are still responsible for a large percentage of property damages and lives lost. At present it is still beyond our understanding to predict an earthquake before it occurs, however EEW is the closest option we have to help save lives and reduce losses. Earthquake early warning hence is an important too

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Yen, Hsin-Yi, and 顏心儀. "Experiment on earthquake early warning for Taiwan broadband seismic network." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/61566726483283298316.

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18

Feng, Liang. "Rockfall detection, localization and early warning with micro-seismic monitoring network." Doctoral thesis, 2020. http://hdl.handle.net/2158/1191978.

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The thesis is about rockfall early warning with a micro-seismic monitoring network, that includes rockfall events detection, classification, localization, and a method for large rock fall early warning.

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Caruso, Alessandro. "Earthquake Early warning Strategies for on-site and network based systems." Tesi di dottorato, 2017. http://www.fedoa.unina.it/12085/1/Tesi.pdf.

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The main topic of this analysis is the development and testing of possible strategies to seismic risk mitigation through the declaration of alert massage, ongoing of earthquake, before that the strong sacking occur. With this aim, a single and multi-stations approach are investigated performing statistical test to proof the rapidity and reliability of alert. The first step of this study is explained in the chapter 1, where an on-site EEWS approach, called SAVE system, is implemented and tested. The system is a basic on-site single-station approach able to quickly characterize the earthquake

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Yan, Ling-min, and 嚴玲敏. "An early warning system for Financial Distress constructed by Applying Artificial Neural Network." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/45258565697806792642.

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碩士<br>逢甲大學<br>資訊電機工程碩士在職專班<br>95<br>Most Enterprises encounter the financial crisis can often be offered from the financial ratio in the financial report. Most investors often select the stock by the Earning per Share (EPS) in the stock market but in fact, the companies that the earning per share capacity is low even if crisis Company, per share earning capacity a well-off company of the financial affairs, need assessment in many aspects and consider in the financial crises of enterprises. This research will combine every financial ratio, through the analytic approach of the neural network te

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WANG, HSUAN-YA, and 王暄雅. "Development of a Disaster Early Warning System using Network Information: a Preliminary Study." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/yhm74v.

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碩士<br>國立臺灣科技大學<br>營建工程系<br>105<br>Natural disasters such as typhoons, floods and earthquakes occur frequently in Taiwan. A signal of warning in advance of the disaster is preferred since such message may help us reduce the damage. Big data from network intelligence resources flourishes in recent years. This research attempts to explore the feasibility of the technology that is used in disaster prevention. The collected data are divided into PTT Gossiping and three news websites (China times、Udn news and Apple daily). In order to examine and analyze the collected data, three representative even

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林志聰. "The application of neural network and quality control chart in developing early warning system." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/36734726810354385317.

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博士<br>國立清華大學<br>工業工程與工程管理學系<br>98<br>Many studies have showed the human errors were the major reason to cause of the accident. In fact, human errors may result in tangible or intangible cost loss and influence of system safety. Especially in nuclear power plant (NPP), serious human failure would damage to operation safety. Thus, no matter what the roles they are, such as operation or maintenance, each of the people in NPPs is played as a vital role. Previous studies indicate that about 30 to 50 percent accidents were result from human failure. Hence, the aim of this dissertation would design

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Hsu, Hua-shun, and 徐華順. "A Study of Fuzzy theory Application in ADSL Broadband-Network Failure Early Warning System." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/83428646929928324780.

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碩士<br>大葉大學<br>電機工程學系碩士班<br>91<br>The fuzzy controller, the core of the ASDL broadband network failure early warning system, is the subject of this study which develops on the basis of the fuzzy theory. The basic framework of the controller includes two inputs, incoming and outgoing traffic values from the DSLAM(Digital Subscriber Line Access Multiplexer) of ADSL network equipment towards the Remote terminal of ADSL Tranceiver Unit(ATU-R), one output set has two respective modes of different traffic type, network communication status and subscriber circuit board status. According to statistical

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Huang, Pei-Wen, and 黃珮雯. "Study of Pear Orchard Environment Monitoring and Early Warning Using LoRa Wireless Sensor Network." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/e57xf3.

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碩士<br>國立宜蘭大學<br>生物機電工程學系碩士班<br>106<br>The purpose of this study was to use long range (LoRa) communication technologies to develop an orchard environment monitoring and early warning system. Remote environmental data acquisition and analysis could be conducted using the system to establish a database of the orchard environment. When environmental hazards were detected, the early warning system would immediately inform the user of real-time situations by sending them emergency alert messages. Three orchards of Shang Jiang pear in Sanxing Township, Yilan County, Taiwan, were used as the experime

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Huang, Zi-Yu, and 黃子毓. "Early Warning Analysis of Financial Crisis by Using Decision Tree and Deep Neural Network." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/hpbj6c.

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碩士<br>朝陽科技大學<br>財務金融系<br>107<br>Recently, the rapid growth of financial frauds, such as fraudulent financial reporting and depletion of the companys assets, have resulted in investors losing confidence in the securities market. Therefore, the Securities and Futures Institute implemented the Information Disclosure and Transparency Ranking System to make the information more transparent, and allowed the companies to disclose more information in financial statements before encountering the financial crisis. This study used the listed electronics company in stock exchange market and over-the-count

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SU, WAN-LING, and 蘇婉玲. "Implementation of Campus Network Security Management and Early Warning System Based on Semantic Web Scheme." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/56886397256906596596.

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Tsai, Hsing-Hwa, and 蔡興華. "The Study of Constructing an Early Warning Model for Financial Crisis by Using Artificial Neural Network Method." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/68987522827617644600.

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碩士<br>國立交通大學<br>管理學院高階主管管理碩士學程<br>92<br>The purpose of this research is to construct an early warning model for financial crisis of the listed companies by using artificial neural network (ANN) with back propagation (BP) algorithm. ANN has error tolerance ability, learning ability, high speed computational ability, and high-volume memorizing ability. It also considers both linear and nonlinear relationship at the same time. To compare with the traditional method, we also adopt logistic regression method to build early warning model. Results show that the accuracy rate in forecasting financial

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Lai, Shin-Fang, and 賴世芳. "The Early Warning System For Credit Departments of Farmers’ Associations in Taiwan Using Back-Propagation Neural Network." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/76882351661546573054.

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碩士<br>中華大學<br>科技管理研究所<br>94<br>The credit departments of farmers’ associations play an important role in the community of finance. In recent years, these departments have faced operational crises because of the competitive industry environment and the uneasiness to accumulate net values. Therefore, it becomes a problem in the Framer’s Associations. Furthermore, it also influences the stability of the overall financial system and thus increases the social cost. Traditionally, Discriminant Analysis and Logistic Regression Analysis are the most popular tools which are used to predict financial cr

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Chin, Tien-Han, and 靳天涵. "Study of Early Warning management mechanism on Real-time monitoring of slope stability using Inclined Wireless Sensor Network." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/90729525192910153426.

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碩士<br>中原大學<br>土木工程研究所<br>101<br>The geological structure of Taiwan is complicated and fragmented, and a significant part of Taiwan is covered by mountains and hills. Due to numbers of population with no more plain, the highly development of slope has become normality. But it caused great loss of many lives and damages to properties when overexploitation of slope coupled with abundant rainfall . In addition, high mountains is also the best-choice locations of radar station and air defense basement, if the road of Combat readiness is damaged by natural disasters, it will cause seriously affected

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Chiu, Shih-Yen, and 邱詩彥. "The Application of Grey Analysis and Neural Network Forecasting to Construct Financial Early Warning Model for Listed Companies in Taiwan." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/39373396354412373225.

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碩士<br>義守大學<br>工業管理學系<br>103<br>Due to the rapid changes of the overall economic environment, possible financial distress increases in a corporation every year recently. Therefore, how to establish an effective early warning model of a business crisis is a relatively important issue for a corporation. In this thesis, the grey correlation analysis and neural network forecasting models were established to predict possible financial crises of a corporation for early warning. In this research, companies who listed in the Taiwan Stock Exchange and faced financial crisis during 2009 and 2012 were in

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Lau, Ting-Iu, and 劉庭佑. "An Improvement of Low Cost Sensor Network forEarthquake Early Warning in Taiwan: Using Arrival-time Order Location Method and Small Arrays." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/19432833012104263343.

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碩士<br>國立臺灣大學<br>地質科學研究所<br>102<br>Since there is no practical method for earthquakes prediction today, the main disaster prevention method is based on the seismic design of buildings. Earthquake early warning (EEW) is another effective way to reduce damage in real-time (Kanamori et al., 1997). Because EEW needs to provide reliable message in a short time, it is important to shorten the reporting time window by the improving of data process. In order to provide location and magnitude after an earthquake just happened, a low cost and high density EEW system has been developed and established by

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Jain, Saloni. "Real-Time Social Network Data Mining For Predicting The Path For A Disaster." 2015. http://scholarworks.gsu.edu/cs_theses/79.

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Traditional communication channels like news channels are not able to provide spontaneous information about disasters unlike social networks namely, Twitter. The present research work proposes a framework by mining real-time disaster data from Twitter to predict the path a disaster like a tornado will take. The users of Twitter act as the sensors which provide useful information about the disaster by posting first-hand experience, warnings or location of a disaster. The steps involved in the framework are – data collection, data preprocessing, geo-locating the tweets, data filtering and extrap

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Wu, Ming-Feng, and 吳明峰. "An Application of Ordered Logit and Neural Network Model on Early Warning System by Rating for the Credit Department of Fishermen Association in Taiwan." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/41159290393561794460.

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碩士<br>國立臺灣海洋大學<br>應用經濟研究所<br>92<br>A series of crises are often arisen if there is something wrong with the management of the community financial, the damage and impact of which to economy is far more serious the that caused by the bankruptcy of a company. A financial warning system for the governing community financial institutions was more important. In the past researches of financial distress prediction, traditional statistical techniques such as multivariate statistical method, Before using the multivariable statistical method. There have been more artificial neural network applications t

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Duchev, Zhivko [Verfasser]. "Management support and early warning system for national biodiversity databases in a network of national, regional (EAAP) and international (FAO) structures / by Zhivko Ivanov Duchev." 2006. http://d-nb.info/983646333/34.

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Singh, Rohitendra K. "A study of air flow in a network of pipes used in aspirated smoke detectors." Thesis, 2009. https://vuir.vu.edu.au/1966/.

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A Very Early–warning Smoke Detection Apparatus (VESDATM) detects the earliest traces of smoke by continuously sampling the air from a designated area. Air sampling is achieved by use of a system of long pipes containing numerous small inlet orifices termed as sampling holes. The air samples are drawn to the detector by means of an aspirator. In spite of the high sensitivity of the detector, much of this advantage can be lost if the smoke transport time within the pipe network is excessive. Consequently there has been a legislation introduced by Standards such as AS 1670 and BS 5839 stating the

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SUNG-JU, YANG, and 楊松儒. "A study on the Early Warning System for the Banks of Taiwan small and Medium Enterprises: The integrated Approach for Data Mining and Artifical Neural Network Model." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/50906929171326770327.

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碩士<br>國立臺北大學<br>企業管理學系<br>92<br>In recent years, the banks of Taiwan Small and Medium Enterprises have faced some operational risk due to economic recession and traditional industry to move outside. The non-performing loans of Taiwan Small and Medium Exterprises have raised from 17.62% in 2001 to 18.64% in 2002. In order to avoid financial crisis of the banks of Taiwan Small and Medium Enterprises, a set of system with systematical and scientific methods will make the degree of financial loss lower. By integrating data mining and artificial neural network , this research tries to de

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