• The Journal of Engineering Geology
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• v.34 no.2
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• pp.173-191
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• 2024

Landslides pose significant threats to many countries globally, yet the development and implementation of effective landslide early warning systems (LEWS) remain challenging due to multifaceted complexities spanning scientific, technological, and political domains. Addressing these challenges demands a holistic approach. Technologically, integrating thresholds, such as rainfall thresholds, with real-time data within accessible, open-source software stands as a promising solution for LEWS. This article introduces LandScient_EWS, a PHP-based program tailored to address this need. The software facilitates the comparison of real-time measured data, such as rainfall, with predefined landslide thresholds, enabling precise calculations and graphical representation of real-time landslide advisory levels across diverse spatial scales, including regional, basin, and hillslope levels. To illustrate its efficacy, the program was applied to a case study in Medellin, Colombia, where a rainfall event on August 26, 2008, triggered a shallow landslide. Through pre-defined rainfall intensity and duration thresholds, the software simulated advisory levels during the recorded rainfall event, utilizing data from a rain gauge positioned within a small watershed and a single grid cell (representing a hillslope) within that watershed. By identifying critical conditions that may lead to landslides in real-time scenarios, LandScient_EWS offers a new paradigm for assessing and responding to landslide hazards, thereby improving the efficiency and effectiveness of LEWS. The findings underscore the software's potential to streamline the integration of rainfall thresholds into both existing and future landslide early warning systems.

• Journal of the Korea Society of Computer and Information
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• v.12 no.4
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• pp.201-207
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• 2007

In some manufacturing industries, there are many situation in which the simultaneous monitoring or control of two or more related quality characteristics is necessary. However, monitoring these two or more related quality characteristics independently can be very misleading. When several characteristics of manufactured component are to be monitored simultaneously, multivariate $x^2$ or $T^2$ control chart can be used. In this paper, establishing a early warning system(EWS) using multivariate control charts to analyze early out-of-control signals in melting process with many quality characteristics was presented. This module which we developed to control several characteristics improved efficiency and effectiveness of process control in the melting process.

• The Journal of Asian Finance, Economics and Business
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• v.4 no.1
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• pp.39-49
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• 2017

This study develops an early warning system (EWS) to prevent the banking crisis. The proposed system incorporates both the perspective of crises and fundamental characteristics of the banking system in each economy. A fuzzy logic method with data from 1990-2009 is employed to construct the EWS of banking crisis based on 21 pre-determined variables from the aspect of total economy, financial and banking sectors. Our results show: Firstly, South Korea recorded higher probability to have a banking crisis in 1997 as there was large foreign debt in dollars. Secondly, China, Australia and New Zealand banking systems appear to be vulnerable to the crisis in 2007. The surge of China export, FDIs and booming stock market were signs of a heated economy. Australia with high commodity prices was also vulnerable to crisis. Thirdly, Australia, China, Japan and New Zealand banking systems appear to be exposed to the higher chance of a crisis in 2010. Japan with deflation coupled with expensive yen did not augur well for its export. Overall, the findings show that in Asian Financial Crisis 1997/98 and Global Financial Crisis 2008/09, many economies are exposed to a higher probability of having the crisis and this shows an urgent need of having surveillance in these economies.

• IE interfaces
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• v.25 no.3
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• pp.319-326
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• 2012

To effectively predict financial crisis, this paper presents an early warning system based on artificial intelligence technologies. Both Genetic Algorithms and Neural Networks are utilized for the proposed system. First, a genetic algorithm has been developed for the effective selection of economic indices, which are used for monitoring financial crisis. Then, an optimum weight of the selected indices has been determined by a neural network method. To validate the effectiveness of the proposed system, a series of experiments has been conducted by using the Korean economic indices from 2005 to 2008.

• 한국IT서비스학회:학술대회논문집
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• 2005.11a
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• pp.400-407
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• 2005

Project의 Quality, Cost, Delivery의 세 가지 목표를 달성하기 위해서는 프로젝트 Risk의 조기 인식 및 대처는 프로젝트 성공의 가장 중요한 요소가 되고 있다 Project Risk는 1)프로젝트의 이해관계자(고객, 협력회사)간의 재무적, 법률적 Risk [수주 Risk]와 2)프로젝트 수행상의 제품공학, 개발환경, 외부제약조건 등의 Risk [수행 Risk]로 나눌 수 있으며, 수주 Risk는 분석 결과가 수행 Risk의 식별, Monitoring에 직접적으로 반영되어야 한다. 프로젝트 수행 Risk는 조기에 식별하고 정량적/정성적 영향을 분석하여 대응계획을 수립하여 지속적으로 Monitoring함으로서 영향을 최소화할 수 있으므로 Risk를 조기 식별하고 경보할 수 있는 시스템(EWS: Early Warning System)의 구축 운영이 반드시 필요하다. 본문에서는 프로젝트 Risk에 대한 분석 및 대웅방안, 프로젝트관리시스템 및 조기경보체계의 표준, 상호간의 관계에 대하여 SK C&C에서 수립하여 적용중인 실증적인 해법을 제시 하고자 한다.

• Journal of the Korean Data and Information Science Society
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• v.24 no.2
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• pp.223-233
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• 2013

At local emerging stock markets such as Korea, Hong Kong, Singapore and Taiwan, foreign investors (FI) are recognized as important investment community due to the globalization and deregulation of financial markets. Therefore, it is required to monitor the behavior of FI against a sudden enormous selling stocks for the concerned local governments or private and institutional investors. The main aim of this study is to propose an early warning system (EWS) which purposes issuing a warning signal against the possible massive selling stocks of FI at the market. For this, we suggest machine learning algorithm which predicts the behavior of FI by forecasting future conditions. This study is empirically done for the Korean stock market.

• The Journal of the Korea Contents Association
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• v.15 no.3
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• pp.78-87
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• 2015

Recently, Police integrity has been issued on the media, which cause discredit of police organization. Although high level of morality and integrity are required compared to other occupational groups due to their authority to exert legal force to the citizens and a variety of policies have been enforced by the National Police Agency for the purpose of uplifting the integrity of the officers, in reality, corruption had not yet been eradicated. At this point in time, this study attempted to draw implications for uplifting integrity by utilizing domestic and foreign preceding studies and statistical data related to police corruption and uplifting integrity. The inspection system through whistle-blowing was pointed out as a problem in the institutional framework that hinders uplifting integrity of the police officers and the perception in which police officers are regarded as potential criminals was also pointed out as a problem. Also, vague standards of disciplinary action in examining an offense of a police officer and lack of care for those who were disciplined in the past which affects loyalty to the organization were presented as problems. Based on such suggested concerns, policies for uplifting integrity and restoring citizens' trust in the policies officers were proposed. The proposed agenda were warning the police officers by presenting clear and specific category of corruptive behaviors, expressing the necessity of devising a system that prevents the officers from committing serious crimes by discovering problematic officers earlier through introduction of Early Warning System(EWS) of US and Australian police in order to break away from exposure-oriented inspection system, and reinforcing the testing of integrity in the new employment process.

• Journal of Trauma and Injury
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• v.34 no.1
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• pp.3-12
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• 2021

Purpose: To evaluate the severity of trauma, many scoring systems and predictive models have been presented. The quick Sequential Organ Failure Assessment (qSOFA) is a simple scoring system based on vital signs, and we expect it to be easier to apply to trauma patients than other trauma assessment tools. Methods: This study was a cross-sectional study of trauma patients who visited the emergency department of Jeju National University Hospital. We excluded patients under the age of 18 years and unknown outcomes. We calculated the qSOFA, the Modified Early Warning Score (mEWS), Revised Trauma Score (RTS), and Injury Severity Score (ISS) based on patients' initial vital signs and assessments performed in the emergency department (ED). The primary outcome was mortality within 14 days of trauma. We analyzed qSOFA scores using multivariate logistic regression analysis and compared the predictive accuracy of these scoring systems using the area under the receiver operating characteristic curve (AUROC). Results: In total, 27,764 patients were analyzed. In the multivariate logistic regression analysis of the qSOFA, the adjusted odds ratios with 95% confidence interval (CI) for mortality relative to a qSOFA score of 0 were 27.82 (13.63-56.79) for a qSOFA score of 1, 373.31 (183.47-759.57) for a qSOFA score of 2, and 494.07 (143.75-1698.15) for a qSOFA score of 3. In the receiver operating characteristic (ROC) curve analysis for the qSOFA, mEWS, ISS, and RTS in predicting the outcomes, for mortality, the AUROC for the qSOFA (AUROC [95% CI]; 0.912 [0.871-0.952]) was significantly greater than those for the ISS (0.700 [0.608-0.793]) and RTS (0.160 [0.108-0.211]). Conclusions: The qSOFA was useful for predicting the prognosis of trauma patients evaluated in the ED.