• 한국데이터정보과학회:학술대회논문집
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• 2004.10a
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• pp.25-32
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• 2004

In this study, we use various change-point detection methods to detects Korea economic crisis of 1997, and then compares their performance. In change-point detection method, there are three major categories: (1) the parametric approach, (2) the nonparametric approach, and (3) the model-based approach. Through the application to Korea foreign exchange rate during her economic crisis, we compare the employed change-point detection methods and, furthermore, determine which of them performs better.

• Journal of the Korean Data and Information Science Society
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• v.15 no.3
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• pp.585-592
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• 2004

This study detects Korea economic crisis of 1997 using various change-point detection methods and then compares their performance. In change-point detection method, there are three major categories: (1) the parametric approach, (2) the nonparametric approach, and (3) the model-based approach. Through the application to Korea foreign exchange rate during her economic crisis, we compare the employed change-point detection methods and, furthermore, determine which of them performs better.

• Archives of Reconstructive Microsurgery
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• v.17 no.1
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• pp.19-27
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• 2008

Purpose: Microvascular reconstructive surgery has become an integral part of the treatment of head and neck cancer patients. This review of 121 free flaps for head and neck cancer patients performed over the last 11 years was done to evaluate circulatory crisis, salvage, and secondary reconstruction and to investigate which factors may contribute to these rates. Method: Nine emergent explorations among 121 head and neck reconstruction with free flaps were reviewed to analyze detection of vascular crisis, the time interval from detection of circulatory crisis to exploration, operation procedures and results, and secondary reconstructions. Emergent exploration was done with our protocol. Result: Nine free flaps exhibited signs of vascular problems between 1 day and 6 days postoperatively. The emergent exploration rate of this series was 7.4% (9/121). The salvage rate was 55.6% (5/9), giving an overall flap viability of 96.7% (117/121). In our study, preoperative radiation therapy, positive smoking history, alcohol consumption history, combined disease such as diabetes mellitus and hypertension, recipient vessels and types of vascular anastomosis were not related to the causes of circulatory crisis. The mean time interval between the onset of clinical recognition of impaired flap perfusion and re-exploration of the salvaged 5 flaps was 3.2 hours, that of failed 4 flaps was 11.25 hours. Conclusion: Despite high overall success rate, relatively low salvage rate may be attributed to late detection of circulatory crisis and in long time interval between detection and exploration. We conclude that early detection of circulatory crisis and expeditious re-exploration are a matter of great importance for the success of salvage operation.

• Korea Journal of Hospital Management
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• v.22 no.3
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• pp.144-156
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• 2017

Purpose: Crisis is inevitable to every organization and therefore, successful crisis management is critical to the organizations' survival and prosperity. With the understanding, this study aims to draw propositions for successful crisis management of hospitals when facing infectious disease outbreak. For the purpose, a case of a small and medium sized hospital's experience of crisis management during 2015 Middle East Respiratory Syndrome outbreak was analyzed. Methodology/Approach: The detailed internal circumstances and experiences of the hospital during the MERS outbreak were identified by in-depth interview as well as the extensive material review, and analyzed under the view of the theories of accident, error, and crisis in relation of organization management Findings: Overall, nine propositions are drawn by the phase of crisis. In pre-crisis phase, for example, 'the hospital preparedness has positive influence on the effective responding to the crisis'. In detection phase, 'the mindfulness of the hospital organizations' as well as the individuals' has positive influence on detecting the crisis signals'. In crisis phase, for example, 'improvising naturally occurs in crisis by the unknown disease, therefore, a component site supervisor coordinating such improvision is important'. Lastly, in post-crisis phase, 'successful crisis responding experience facilitates the positive hospital culture'. Practical implication: From the experience of a small and medium size hospital, it is suggested that proactive system approach oriented by safety is beneficial for effective crisis management.

• Journal of Information Technology Applications and Management
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• v.23 no.4
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• pp.25-39
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• 2016

Asset prices decline sharply and stock markets collapse when financial crisis happens. Recently we have encountered more frequent financial crises than ever. 1998 currency crisis and 2008 global financial crisis triggered academic researches on early warning systems that aim to detect the symptom of financial crisis in advance. This study proposes a risk recovery index for detection of good opportunities from financial market instability. We use SVM classifier algorithms to separate recovery period from unstable financial market data. Input variables are KOSPI index and V-KOSPI200 index. Our SVM algorithms show highly accurate forecasting results on testing data as well as training data. Risk recovery index is derived from our SVM-trained outputs. We develop a trading system that utilizes the suggested risk recovery index. The trading result records very high profit, that is, its annual return runs to 121%.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.2
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• pp.128-133
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• 2021

Currently, autonomous vehicle markets are commercializing a third-level autonomous vehicle, but there is a possibility that an accident may occur even during fully autonomous driving due to stability issues. In fact, autonomous vehicles have recorded 81 accidents. This is because, unlike level 3, autonomous vehicles after level 4 have to judge and respond to emergency situations by themselves. Therefore, this paper proposes a vehicle crisis detection system(VCDS) that collects and stores information outside the vehicle through CNN, and uses the stored information and vehicle sensor data to output the crisis situation of the vehicle as a number between 0 and 1. The VCDS consists of two modules. The vehicle external situation collection module collects surrounding vehicle and pedestrian data using a CNN-based neural network model. The vehicle crisis situation determination module detects a crisis situation in the vehicle by using the output of the vehicle external situation collection module and the vehicle internal sensor data. As a result of the experiment, the average operation time of VESCM was 55ms, R-CNN was 74ms, and CNN was 101ms. In particular, R-CNN shows similar computation time to VESCM when the number of pedestrians is small, but it takes more computation time than VESCM as the number of pedestrians increases. On average, VESCM had 25.68% faster computation time than R-CNN and 45.54% faster than CNN, and the accuracy of all three models did not decrease below 80% and showed high accuracy.

• Journal of the Korean Data and Information Science Society
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• v.18 no.2
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• pp.345-356
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• 2007

This study deals with an early detection problem of structural change in won/dollar exchange market. A CUSUM algorithm is developed to monitor relevant economic variables indicating structural change in won/dollar exchange market. We applied the CUSUM algorithm to examine whether or not it was possible to alarm the 1997 economic crisis of Korea in advance.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.294-301
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• 2022

COVID-19 is a crisis with numerous casualties. The World Health Organization (WHO) has declared the use of masks as an essential safety measure during the COVID-19 pandemic. Therefore, whether or not to wear a mask is an important issue when entering and exiting public places and institutions. However, this makes face recognition a very difficult task because certain parts of the face are hidden. As a result, face identification and identity verification in the access system became difficult. In this paper, we propose a system that can detect masked face using transfer learning of Yolov5s and recognize the user using transfer learning of Facenet. Transfer learning preforms by changing the learning rate, epoch, and batch size, their results are evaluated, and the best model is selected as representative model. It has been confirmed that the proposed model is good at detecting masked face and masked face recognition.

• Journal of the Korea Society of Computer and Information
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• v.8 no.3
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• pp.179-187
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• 2003

This study investigate the reasons of organizational failure in detection and appropriate response to risk signal. The Crisis does not come true suddenly, there is some risk signals in crisis. If Organization detect the risk signals the crisis is come true opportunities, if not the crisis is come true disastrous outcome. This is use the system dynamics approach. System Dynamics assume the system as a collection of causal feedback loop, so we understand the dynamics around the problems. This investigate suggest that, the focus on growth is the a kind of promotional pressure and the pressure drive the organization to less attention the risk signal, so the risk is underestimate In proportion to real risk. Ultimate, the organization entrap the promotional climate and insensible to security. This study is a kind of hypothesis-discovering research, in the further study, the discovered hypothesis will be empirically tested.

• Clinical and Experimental Vaccine Research
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• v.12 no.1
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• pp.77-79
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• 2023

The Philippines is still in a tight battle with the coronavirus disease 2019 pandemic since many cases are detected daily. With the continuous spread of another disease worldwide-monkeypox, many Filipinos are alarmed if the country's healthcare system is prepared enough, especially with the detection of its first case. Learning from the unfortunate experiences of the country during the current pandemic is essential in facing another health crisis. With this, recommendations for a robust healthcare system are proposed centered on: a massive digital information campaign about the disease; training healthcare workers to raise awareness about the virus and its transmission, management, and treatment; an intensified surveillance and detection procedure to monitor cases and execute contact tracing properly; and a persistent procurement of vaccines and drugs for treatment, with a well-designed vaccination program.