• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.26-34
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• 2024

Most human emotions are conveyed through facial expressions, which represent the predominant source of emotional data. This research investigates the impact of crowds on human emotions by analysing facial expressions. It examines how crowd behaviour, face recognition technology, and deep learning algorithms contribute to understanding the emotional change according to different level of crowd. The study identifies common emotions expressed during congestion, differences between crowded and less crowded areas, changes in facial expressions over time. The findings can inform urban planning and crowd event management by providing insights for developing coping mechanisms for affected individuals. However, limitations and challenges in using reliable facial expression analysis are also discussed, including age and context-related differences.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.6
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• pp.809-818
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• 2018

In this paper, in order to evaluate the impact of future climate change in North Korea, we collected the climate data of each station in North Korea provided by WMO and expanded the lack of time series data. Using the RCP climate change scenario, And the impact of climate change on disasters using local vulnerability to disasters in the event of a disaster. In order to evaluate this, the 11 cities in North Korea were evaluated for Design Rainfall Load, human risk index (HRI), and disaster impact index (DII) at each stage. As a result, Jaffe increased from C grade to B grade in the Future 1 period. At Future 2, North Hwanghae proved to be dangerous as it was, and Gangwon-do and Hwanghae-do provincial grade rose to C grade. In the case of Future 3, Pyongyang City dropped from C grade to D grade, Hamgyong and Gyeongsang City descend from B grade to C grade, Gangwon-do and Jagangdo descend from C grade to D grade and Pyongyang city descend from C grade to D grade. Respectively.

• Proceedings of the KSR Conference
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• 2011.05a
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• pp.55-60
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• 2011

For the bolster type bogie, bolster anchor body connections are proviede to transmit the longitudinal loads for traction or braking between the carbody and the truck. The bolster anchor body connection is generally composed of anchor rod bracket, anchor rod and its fastening devices. The bolster anchor body connection shall be basically capable of withstanding a longitudinal load resulting from excessive braking case or impact. Additionally the north America standard requires that the anchor rod bracket shall be frangible, I.e. the anchor rod bracket shall fail and fall away under load before the carbody structure is damaged since to protect the cabody structure in the event of unexpected accident. This paper describes the shear connection design using the optimized mechanical fasteners in the bolster anchor body connection to satisfy these Northe America requirements.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.4
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• pp.2567-2570
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• 2013

Background: This study analyzed Surveillance, Epidemiology and End Results (SEER) data to assess if socio-economic factors (SEFs) impact on endometrial cancer survival. Materials and Methods: Endometrial cancer patients treated from 2004-2007 were included in this study. SEER cause specific survival (CSS) data were used as end points. The areas under the receiver operating characteristic (ROC) curve were computed for predictors. Time to event data were analyzed with Kaplan-Meier method. Univariate and multivariate analyses were used to identify independent risk factors. Results: This study included 64,710 patients. The mean follow up time (S.D.) was 28.2 (20.8) months. SEER staging (ROC area of 0.81) was the best pretreatment predictor of CSS. Histology, grade, race/ethnicity and county level family income were also significant pretreatment predictors. African American race and low income neighborhoods decreased the CSS by 20% and 3% respectively at 5 years. Conclusions: This study has found significant endometrial survival disparities due to SEFs. Future studies should focus on eliminating socio-economic barriers to good outcomes.

• Korean Management Science Review
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• v.23 no.3
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• pp.209-224
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• 2006

The mobile communication technology would be one of the most appropriate means for achieving process innovation in the actual business area. This article performs a simulation study to examine the effect of introducing a mobile technology to the after-sales service and its logistics process. The performances of the two different systems, before and after introducing a mobile technology, are examined based on operational cost, operational efficiency, and customer service level using a discrete event simulation. The real-world data, extracted from a leading Korean electronics firm, was collected for this study. The results show that the TO-BE(after) model outperforms the AS-IS(before) model over all the performance indices. And the effects of introducing the mobile technology are more significant on the more tightly controlled inventory policy.

• Journal of Korean Society of Rural Planning
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• v.8 no.2 s.16
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• pp.3-16
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• 2002

의사결장지원시스템은 다양한 분야에 적용되어 왔으며, 그 중 수자원 및 수질 관련 분야에도 다각적으로 적용되어 왔다. 본 연구에서는 미 농무성의 자연자원보전국(NRCS, Natural Resources Conservation Service)에서 개발한 유출곡선법(Curve Number Method)과 EMC(Event Mean Concentration)을 사용한 L-THIA(Long-Term Hydrologic Impact Assessment) 수문/수질 모형을 강우자료 데이터베이스, 웹기반 지리정보시스템, 웹 사용자 편의 시스템과 통합한 수문/수질 L-THIA web 의사결정지원시스템을 개발하였다. L-THIA web은 도시계획가나 지방자치단체, 또는 지방의 공동체가 사용할 수 있도록 쉽고 단순한 사용자 편의 시스템을 제공하고 있으며, 미국의 50개 본토의 주와 카운티(County) 이름으로 기상자료와 수문토양분류(Hydrologic Soil Group)을 인터넷 지리정보시스템을 이용하여 제공하고 있다. 본 연구는 지방자치단체 및 지역공동체의 실무자를 사용자로 수문/수질 평가 및 관리를 위한 시스템으로 유용하게 활용될 수 있을 것으로 사료된다.

• Communications for Statistical Applications and Methods
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• v.28 no.2
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• pp.151-159
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• 2021

In this article, our interest is to estimate the association between consecutive gap times which are subject to interval censoring. Such data are referred as doubly interval censored data (Sun, 2006). In a context of serial event, an induced dependent censoring frequently occurs, resulting in biased estimates. In this study, our goal is to propose a Kendall's 𝜏 based association measure for doubly interval censored data. For adjusting the impact of induced dependent censoring, the inverse probability censoring weighting (IPCW) technique is implemented. Furthermore, a multiple imputation technique is applied to recover unknown failure times owing to interval censoring. Simulation studies demonstrate that the suggested association estimator performs well with moderate sample sizes. The proposed method is applied to a dataset of children's dental records.

• East Asian Economic Review
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• v.27 no.2
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• pp.145-176
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• 2023

This paper investigates short selling behavior, particularly by foreign investors, during event days of non-normal times on an intraday basis in the Korean stock market around the global financial crisis. Although, in the several subsamples, we cannot exclude the predatory short-selling possibility, we did not find any conclusive evidence of abusive short selling behaviors in the overall intraday trading activities. While foreign investors demonstrate higher levels of participation in short-sale trading, their impact on price declines is not as pronounced compared to the effects of pure selling. Following the lift of the short-sale ban, foreign investors appear to engage in long selling trading more frequently, and their influence on price changes primarily stems from long selling rather than short selling compared to the past.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.549_550
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• 2009

전력산업의 경쟁체제 도입에 따른 전력설비 투자부진현상은 정전 발생 확률을 높였고, 이에 따른 대비책 마련 및 경제적 파급효과 분석과 관련된 연구가 대두되었다. 국내에서 수행된 정전의 경제적 파급효과 분석은 정전비용 산정에만 초점을 맞추어 수행되었기 때문에 잠재적인 경제적 영향성을 고려하여 정전과 금융시장의 상관관계 분석이 필요하다. 본 논문은 이벤트 스터디(Event Study)기법 적용을 통해 정전이 에너지 저장장치산업 관련 기업 주가에 미치는 영향을 분석한다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.322-325
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• 2000

본 연구에서는 전략적 제휴의 궁극적 목적인 기업가치 향상에 전략적 제휴가 어떠한 영향을 미치는가를 실증적으로 분석함으로써 전략적 제휴를 도입하려는 기업과 기업의 이해관계자들에게 보다 객관적인 연구결과 및 시사점을 제시하고자 하였다. 이를 위해 사건연구방법(event study approach)을 이용하여 기업의 전략적 제휴 공시가 주가에 근거한 기업의 가치에 어떠한 영향을 미치는가를 파악하고자 하였으며, 기존 연구에서 분류하고 있는 여러 가지 전략적 제휴의 형태 및 특성에 따라 그 영향이 어떻게 달라지는지를 추가로 검토하였다. 연구 결과, 자본시장은 기존의 연구들과 달리 전략적 제휴의 공시에 대해서는 특별한 반응을 보이지 않지만, 기술제휴와 시장제휴로 구분한 경우에는 시장제휴가 좋지도 나쁘지도 않은 재료로 작용하는 반면 기술제휴는 좋은 재료로 작용하는 것으로 나타났으며, 전략적 제휴에 있어서 파트너 기업보다 규모가 작은 기업의 초과수익률이 파트너 기업보다 규모가 큰 기업의 초과수익률을 상회하는 것으로 나타났다. 그러나 전략적 제휴 파트너기업과의 관계에 있어서는 관련기업과의 제휴이든 비관련기업과의 제휴이든 자본시장의 반응에 있어서 뚜렷한 차이를 보이지 않는 것으로 나타났다.