• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.99-104
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• 2021

In this paper, we propose health risk management using feature extraction and cluster analysis considering time flow. The proposed method proceeds in three steps. The first is the pre-processing and feature extraction step. It collects user's lifelog using a wearable device, removes incomplete data, errors, noise, and contradictory data, and processes missing values. Then, for feature extraction, important variables are selected through principal component analysis, and data similar to the relationship between the data are classified through correlation coefficient and covariance. In order to analyze the features extracted from the lifelog, dynamic clustering is performed through the K-means algorithm in consideration of the passage of time. The new data is clustered through the similarity distance measurement method based on the increment of the sum of squared errors. Next is to extract information about the cluster by considering the passage of time. Therefore, using the health decision-making system through feature clusters, risks able to managed through factors such as physical characteristics, lifestyle habits, disease status, health care event occurrence risk, and predictability. The performance evaluation compares the proposed method using Precision, Recall, and F-measure with the fuzzy and kernel-based clustering. As a result of the evaluation, the proposed method is excellently evaluated. Therefore, through the proposed method, it is possible to accurately predict and appropriately manage the user's potential health risk by using the similarity with the patient.

• The Korean Journal of Applied Statistics
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• v.26 no.5
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• pp.725-736
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• 2013

Retirement income is an important personal and social issue. Problems associated with financial risk wil1 become more pronounced with the growth in the elderly population. Medical expenses in senescence is closely related to financial risk; in addition, some diseases that require long term care will increase financial risk which result in lower quality of life for the elderly. Therefore, it is necessary to understand expected long-term care costs and to manage financial risk from the perspective of an individual. This study evaluate the length of period in which a person is expected to need long term care and actuarial present values of the total cost which needs to be prepared for the care through the Korean public long term care system based on the experience data obtained from Long Term Care Insurance for the Elderly in Korea and a multi-state model.

• Korean Journal of Construction Engineering and Management
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• v.6 no.3 s.25
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• pp.120-127
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• 2005

This study examines the occurrence of accidents when workers were travelling on construction sites and the differences in risk involved in each occupation. An analysis of 750 fatal accident reports found that in 138 cases, the fatality occurred when the workers were travelling on site. The 138 cases were then divided according to occupation and were then examined to determine how the workers in each occupation had been affected by various hazardous situations. There were significant differences in accident occurrence between the occupations and in the various hazardous situations. The results imply that the cultural aspect of each occupation leads to a substantial difference in the possibility of fatal injuries or death and that such differences in risk should be taken into account when planning the workers' movements on site. The findings of this study aim to help workers to understand the risks entailed when travelling on site and also to assist managers in the planning of workers, movements on construction sites.

• Journal of the Korean Data and Information Science Society
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• v.24 no.1
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• pp.1-12
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• 2013

In this paper, we introduce a continuous-time risk model where the surplus follows a diffusion process with positive drift while being subject to two types of claims. We assume that the sizes of both types of claims are exponentially distributed and that type I claims occur more frequently, however, their sizes are smaller than type II claims. We obtain the ruin probability that the level of the surplus becomes negative, by establishing an integro-differential equation for the ruin probability. We also obtain the ruin probabilities caused by each type of claim and the probability that the level of the surplus becomes negative naturally due to the diffusion process. Finally, we illustrate a numerical example to compare the impacts of two types of claim on the ruin probability of the surplus with that of the diffusion process in the risk model.

• Journal of the Korean Data and Information Science Society
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• v.28 no.2
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• pp.271-286
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• 2017

The objective of this paper is to evaluate whether longevity risk is properly managed in Korean life insurance industry by measuring longevity risk in the viewpoint of natural hedge. According to analysis, the sum of the reserve of annuity and that of whole life insurance appears to decrease in the case both reserve of annuity and whole life insurance are shocked by same degree and also the mortality rate of the aged policyholders is improved faster than that of the less aged policyholders. Although the sum of the reserves increases only when the mortality improvement of annuity policyholders is higher than that of whole life insurance policyholders by two times, more than 60% of reserve increase of annuity is found to be offset by natural hedge. Thus, it is judged that the longevity risk of Korea life insurance industry is properly managed by natural hedge.

• Resources Recycling
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• v.22 no.5
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• pp.3-12
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• 2013

It is necessary to manage risk of metals which are has rigid supply structures and expected demand expansion, considering to industry structure and resource securing capacity of each country. Countries conducted various criticality analyses and selected mainly rare metals as critical materials(or Critical metals or Critical raw materials). This study examined cases of metals risk evaluation and management which are based on technology changes and imbalance supply-demand. EU and U.S.A evaluated risk on metals needed as supply expansion of renewable energy. Japan forecasted demand of rare metals needed in Japan's growth engine industry. U.K analyzed criticality of metals, considering environmental burden occurred from mining to refining. Critical materials has features such as weak price signal, inelastic supply structure, demand volatility in technology change.

• Convergence Security Journal
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• v.15 no.5
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• pp.17-22
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• 2015

As financial deregulation policies implemented by the government, electronic financial service is improved but security concerns are increasing and ultimately weaken trust in the financial service. Electronic financial service becomes more and more dependant on the IT platform and the initiatives of access device is also gradually shift to that platform. As biometric sensor is mounted on the smartphone, structural change in the access device is coming. It must be a positive signs in terms of fintech development, in the other side, it can cause many problems such as weakness of regulation and ambiguity of principals of responsibility. So in this paper, by analysing this problem-the shift of service initiative-on the access device I'll propose the best way to the the legal amendments.

• Journal of Environmental Impact Assessment
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• v.28 no.1
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• pp.1-22
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• 2019

This study aims at deriving the implications for adaptation policy and research target regarding climate change risk assessment in ecosystem sector in Korea. The common ground of exemplary cases of "world leaders" in terms of adaptation policies and researches was that they emphasize nationwide study on climate change on biodiversity and ecosystem in target of establishing scientific evidence-bases and reducing uncertainty for their national adaptation policies and plans. In light of this trend, Korean government should settle down more successful adaptation structure by leading adaptation system in further national policy-settings to observe UNFCCC and CBD integratedly and effectively, considering the economic value of adaptation in policy, and strengthening scientific research programs and technology developments. Moreover, risks assessment based on diagnoses and analysis on the risk factors (hazard, exposure, and vulnerability) for climate change in nationwide habitats and species and consolidations with subsequent adaptation strategies could make adaptations in ecosystem sector more effective and successful.

• Industry Promotion Research
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• v.7 no.4
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• pp.109-119
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• 2022

In recent years, China's Internet finance industry is hot. There is no doubt that Internet finance has been fully integrated into China, forming a new form of financing, and rapidly becoming a new channel for investment and financing in China, shouldering the responsibility of inclusive financing and building China's real economy. However, with investment, there are risks. Based on the panel data of China's Internet financial platform, this paper uses the random effect model to study the influencing factors of Internet financial risks, and draws three conclusions: (1) The user funds and platform funds of the financial platform will be managed separately by the bank, which can effectively reduce the risk of financial transactions on the Internet; (2) The risk of Internet financial transactions can be effectively reduced by avoiding the concentration of platform funds in the hands of a few borrowers through regulatory policies; (3) The liquidity control of funds effectively reduces the risk of Internet financial transactions. Based on the conclusions, we propose optimization strategies for regulatory policies to achieve the healthy and sustainable development of Internet finance.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.287-308
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• 2022

The explosive growth of cryptocurrency, led by Bitcoin has emerged as a major issue in the financial market recently. As a result, interest in cryptocurrency investment is increasing, but the market opens 24 hours and 365 days a year, price volatility, and exponentially increasing number of cryptocurrencies are provided as risks to cryptocurrency investors. For that reasons, It is raising the need for research to reduct investors' risks by dividing cryptocurrency which is not suitable for recommendation. Unlike the previous studies of maximizing returns by simply predicting the future of cryptocurrency prices or constructing cryptocurrency portfolios by focusing on returns, this paper reflects the tendencies of investors and presents an appropriate recommendation method with interpretation that can reduct investors' risks by selecting suitable Altcoins which are recommended using Apriori algorithm, one of the machine learning techniques, but based on the similarity and association rules of Bitocoin.