• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 추계학술대회 논문집 전력기술부문
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• pp.35-38
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• 2005

This paper suggests the method that forecast Dynamic Line Rating (DLR). Thermal Overload Risk (TOR) of next time is forecasted based on current weather condition and DLR value by Monte Carlo Simulation (MCS). To model weather element of transmission line for MCS, we will propose the use of weather forecast system and statistical models that time series law is applied. Also, through case study, forecasted TOR probability confirmed can utilize by standard that decide DLR of next time. In short, proposed method may be used usefully to keep safety of transmission line and reliability of supply of electric Power by forecasting transmission capacity of next time.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.506-513
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• 2009

The Construction Industry Institute (CII) developed the Project Definition Rating Index (PDRI), as a part of their Front End Planning best practices, which helps project managers assess and measure project scope definition risk elements. U.S. Green Building Council are seeing the benefits of sustainable building and Leadership in Energy and Environmental Design certification by positively impacting life cycle costs, building marketability, and organizational productivity. However, there have been no efforts to integrate these two planning tools in construction industry. By applying a supplemental tool which combines the PDRI with the LEED rating system, construction industry can develop and implement a tailored instrument that leads to total project success in sustainability. The objective of this research is to assemble a new front end planning mechanism for green buildings by incorporating the current PDRI and LEED systems.

• Journal of Multimedia Information System
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• 제8권3호
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• pp.183-190
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• 2021

In this paper, we implement a system for a fund recommendation based on the investment propensity and for a future fund price prediction. The investment propensity is classified by scoring user responses to series of questions. The proposed system recommends the funds with a suitable risk rating to the investment propensity of the user. The future fund prices are predicted by Prophet model which is one of the machine learning methods for time series data prediction. Prophet model predicts future fund prices by learning the parameters related to trend changes. The prediction by Prophet model is simple and fast because the temporal dependency for predicting the time-series data can be removed. We implement web pages for the fund recommendation and for the future fund price prediction.

• 생물정신의학
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• 제13권2호
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• pp.95-102
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• 2006

Object : Nerve growth factor(NGF) is a protein involved in neuronal survival and plasticity in the central nervous system, which might play an important role in stress, depression and suicide. This study was performed to determine whether there is an alteration in plasma NGF concentrations in depressed patients with suicidal attempt. Methods : The subjects were 32 depressed patients who attempted suicide and admitted in emergency room. Forty-four hospitalized non-suicidal depressive patients and the 30 normal controls were closely matched with the suicidal group in terms of age and sex. Individuals in all 3 groups were evaluated independently by a semi-structured interview for the purpose of establishing a DSM-IV criteria diagnosis. The severity of depressive symptoms was evaluated using Hamilton depression rating scale(HDRS). The severity of the suicidal behavior was evaluated by Weisman and Worden's risk-rescue rating(RRR) system and the Lethality Suicide Attempt Rating Scale(LSARS). Plasma NGF level was measured by the enzyme linked immunosorbent assay(ELISA) method. Results : There were no statistically significant differences of the plasma NGF levels among groups. LSARS and RRR did not reveal any significant correlation with ${\beta}$-NGF level in suicidal depressive patients. Conclusion : This study do not support an association between ${\beta}$-NGF and suicidal depression. However it is necessary to investigate this association through other route such as postmortem brain.

• 한국치위생학회지
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• 제19권4호
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• pp.479-492
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• 2019

Objectives: This study aimed to develop the CAMBRA-kids application for the systematic management of dental caries among preschoolers, activate the dental caries management system, and contribute to the dental caries management of preschoolers. Methods: The collected data were analyzed using R studio 1.2.1335 for Windows (RStudio Inc., Boston, MA, USA, 2018). Algorithm evaluation, heuristic evaluation and usability evaluation were analyzed using descriptive statistics. Results: Both expert evaluations of the application's algorithms were calculated as 100%, for proficiency and efficiency. The application worked well with the designed algorithms, the risk group level of participants was categorized appropriately, and the risk management method was guided properly according to the risk group level. Of the five problems presented in the heuristic evaluation, 'the lack of security' and 'the lack of information on oral health care' received 'high severity' scores. The usability evaluation of the application produces an overall score of 3.27. In the subscales (participation, functionality, aesthetics, and information) of the Mobile App Rating Scale (MARS), the 'participation' domain received the lowest score of 2.56 and the 'functional' domain received the highest score of 3.70. Conclusions: The CAMBRA-kids application is expected to be applied and used in the field of preschoolers' oral health care management, and to contribute to the prevention of dental caries of preschoolers by activating the dental caries management system using the application.

• 지능정보연구
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• 제26권2호
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• pp.105-129
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• 2020

본 연구는 부도위험 예측을 위해 K-IFRS가 본격적으로 적용된 2012년부터 2018년까지의 기업데이터를 이용한다. 부도위험의 학습을 위해, 기존의 대부분 선행연구들이 부도발생 여부를 기준으로 사용했던 것과 다르게, 본 연구에서는 머튼 모형을 토대로 각 기업의 시가총액과 주가 변동성을 이용하여 부도위험을 산정했으며, 이를 통해 기존 방법론의 한계로 지적되어오던 부도사건 희소성에 따른 데이터 불균형 문제와 정상기업 내에서 존재하는 부도위험 차이 반영 문제를 해소할 수 있도록 하였다. 또한, 시장의 평가가 반영된 시가총액 및 주가 변동성을 기반으로 부도위험을 도출하되, 부도위험과 매칭될 입력데이터로는 비상장 기업에서 활용될 수 있는 기업 정보만을 활용하여 학습을 수행함으로써, 포스트 팬데믹 시대에서 주가 정보가 존재하지 않는 비상장 기업에게도 시장의 판단을 모사하여 부도위험을 적절하게 도출할 수 있도록 하였다. 기업의 부도위험 정보가 시장에서 매우 광범위하게 활용되고 있고, 부도위험 차이에 대한 민감도가 높다는 점에서 부도위험 산출 시 안정적이고 신뢰성 높은 평가방법론이 요구된다. 최근 머신러닝을 활용하여 기업의 부도위험을 예측하는 연구가 활발하게 이루어지고 있으나, 대부분 단일 모델을 기반으로 예측을 수행한다는 점에서 필연적인 모델 편향 문제가 존재하고, 이는 실무에서 활용하기 어려운 요인으로 작용하고 있다. 이에, 본 연구에서는 다양한 머신러닝 모델을 서브모델로 하는 스태킹 앙상블 기법을 활용하여 개별 모델이 갖는 편향을 경감시킬 수 있도록 하였다. 이를 통해 부도위험과 다양한 기업정보들 간의 복잡한 비선형적 관계들을 포착할 수 있으며, 산출에 소요되는 시간이 적다는 머신러닝 기반 부도위험 예측모델의 장점을 극대화할 수 있다. 본 연구가 기존 머신러닝 기반 모델의 한계를 극복 및 개선함으로써 실무에서의 활용도를 높일 수 있는 자료로 활용되기를 바라며, 머신러닝 기반 부도위험 예측 모형의 도입 기준 정립 및 정책적 활용에도 기여할 수 있기를 희망한다.

• Journal of information and communication convergence engineering
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• 제9권4호
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• pp.353-357
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• 2011

U.S. Obama government is submit a motion to consider cyber attacks on State as a war. 7.7DDoS attack in Korea in 2009 and 3.4 DDoS attacks 2011, the country can be considered about cyber attacks. China hackers access a third country, bypassing South Korea IP by hacking the e-commerce sites with fake account, that incident was damaging finance. In this paper, for WiBro service, DDoS attacks, hackers, security incidents and vulnerabilities to the analysis. From hacker's attack, WiBro service's prognostic relevance by analyzing symptoms and attacks, in real time, Divide Red, Orange, Yellow, Green belonging to the risk rating. For hackers to create a blacklist, to defend against attacks in real-time air-conditioning system is the study of security. WiBro networks for incident tracking and detection after the packets through the national incident response should contribute to the development of technology.

• 한국농촌간호학회지
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• 제15권2호
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• pp.66-73
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• 2020

Purpose: This study was done to report nursing case for ADL improvement of elders who have CVA(Cerebrovascular Accident) sequelae. Methods: The client had registered in the C visiting nursing center after being decided a long-term care Grade 2. Data were collected through consultation logs for recipients, Activities of Daily Living (ADL) records, fall risk assessment (Huhn) sheets, decubitus ulcer risk assessment (Braden Scale) sheets, cognition assessment (K-MMSE) sheets, long-term care benefit provision records, and interviews with visiting nurse. Data were collected and analyzed according to the Omaha System problem classification. The intervention scheme and the problem rating scale for performance were applied to present the case for home-visit nursing. Results: The client registered in August, 2018, was provided home-visit nursing care once a week as of September 2020. ADL, cognitive levels and decubitus ulcer risks were found to have improved. Conclusion: This case report presents the value of classifying nursing problems and checking nursing intervention provided to patients with problems of ADL. The presentation of home-visit nursing cases applying a standardized nursing problem classification scheme for clients with various problems showed that a high quality level of care is guaranteed and evidence-based nursing can be provided by visiting nurses.

• The Korean Journal of Pain
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• 제36권1호
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• pp.137-246
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• 2023

Background: To investigate the relationship between cutaneous allodynia (CA) and kinesiophobia, gastrointestinal system (GIS) symptom severity, physical activity, and disability, and to determine whether CA, pain, and disability were influencing factors for kinesiophobia, GIS symptoms, and physical activity in individuals with migraine. Methods: The study included 144 individuals with migraine. CA, kinesiophobia, GIS symptoms, physical activity level, and migraine-related disability were evaluated with the Allodynia Symptom Checklist, the Tampa Kinesiophobia Scale (TKS), the Gastrointestinal Symptom Rating Scale (GSRS), the International Physical Activity Questionnaire-7, and the Migraine Disability Assessment Scale (MIDAS), respectively. Results: The CA severity was only associated with TKS (r = 0.515; P < 0.001), GSRS-total (r = 0.336; P < 0.001), GSRS-abdominal pain (r = 0.323; P < 0.001), GSRS-indigestion (r = 0.257; P = 0.002), GSRS-constipation (r = 0.371; P < 0.001), and MIDAS scores (r = 0.178; P = 0.033). Attack frequency (P = 0.015), attack duration (P = 0.035) and presence of CA (P < 0.001) were risk factors for kinesiophobia. Attack frequency (P = 0.027) and presence of CA (P = 0.004) were risk factors for GIS symptoms. Conclusions: There was a relationship between the CA and kinesiophobia, GIS symptoms, and disability. CA and attack frequency were found to be risk factors for kinesiophobia and GIS symptoms. Migraine patients with CA should be assessed in terms of kinesiophobia, GIS, and disability. Lifestyle changes such as exercise and dietary changes and/or pharmacological treatment options for CA may increase success in migraine management.

• 한국구조물진단유지관리공학회 논문집
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• 제19권3호
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• pp.64-72
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• 2015

고속도로교량을 위한 위험도기반점검주기를 제안하였다. 고속도로 교량유지관리시스템에서 얻은 상태데이터를 분석하여 교량상태 열화에 영향을 주는 위해성인자를 찾았다. 그러한 인자와 상태열화사이의 특정한 상관성을 찾았다. 이들을 이용하여 위해성점수를 평가하는데 이용하였다. 여러 가지 위해성 인자들을 종합하여 최종 위해성을 높음, 보통, 낮음의 세 단계로 구분하였다. 취약성은 교량의 현재상태로 평가하였다. 위험도행렬을 점검주기를 위해 제안하였다. C, D, E등급 교량의 점검주기는 현행대로 유지하였다. 그러나, 보통과 높음으로 위해성이 평가된 A 및 B 등급교량은 점검주기를 최대 6년까지 연장하였고 최소주기는 현행과 같이 3년으로 하였다. 위험도 평가에 따라 점검주기를 보정하므로써 평균 점검인력을 27% 절약할 수 있었다.