• Journal of the Earthquake Engineering Society of Korea
• /
• v.27 no.3
• /
• pp.157-162
• /
• 2023

As a result of active geological investigation of faults in Korea, many Quaternary faults have been identified and some of them were judged to have potential to generate earthquakes. Those faults need to be considered as additional seismic sources in the seismic hazard analysis. When a fault is introduced as a new source, the earthquakes generated by the fault should be removed from the area sources that include any part of the fault, to avoid double counting. In practice, however, double counting cannot completely be avoided as the complete separation of the fault-generated earthquakes from the area sources is impossible due to uncertainties related to the earthquake location, subsurface structures of faults, etc. When a new fault source is introduced, the only constraint is the invariance of earthquake frequency. The maximum earthquake and the Richter-b value should also be subject to change, but there are no competent approaches to estimate the change due to incomplete separation of earthquakes. To gain insight into the effect of a new fault source, an example calculation of the seismic hazard were carried out. The example calculation shows that addition of a new fault source centers seismic hazard around the fault source.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.22 no.6
• /
• pp.13-20
• /
• 2022

Road conditions and weather conditions are very important factors in the case of traffic accident fatalities in fog and ice sections that occur on roads in winter. In this paper, a simulation was performed to estimate the traffic accident risk rate assuming traffic accident prediction data. In addition, in this paper, in order to reduce traffic accidents and prevent traffic accidents, factor analysis and traffic accident fatality rates were predicted using the WEKA data mining technique and TENSOR FLOW open source data on traffic accident fatalities provided by the Korea Transportation Corporation.

• Journal of Korea Multimedia Society
• /
• v.25 no.4
• /
• pp.583-599
• /
• 2022

Although the object detection accuracy with a single image has been significantly improved with the advance of deep learning techniques, the detection accuracy for pig monitoring is challenged by occlusion problems due to a complex structure of a pig room such as food facility. These detection difficulties with a single image can be mitigated by using a video data. In this research, we propose a method in pig detection for video monitoring environment with a static camera. That is, by using both image processing and deep learning techniques, we can recognize a complex structure of a pig room and this information of the pig room can be utilized for improving the detection accuracy of pigs in the monitored pig room. Furthermore, we reduce the execution time overhead by applying a pruning technique for real-time video monitoring on an embedded board. Based on the experiment results with a video data set obtained from a commercial pig farm, we confirmed that the pigs could be detected more accurately in real-time, even on an embedded board.

• The Journal of the Society of Stroke on Korean Medicine
• /
• v.6 no.1
• /
• pp.55-62
• /
• 2005

Dysphagia is an important complication for the rehabilitative treatment and life quality of stroke patients. This report is about two patients with dysphagia after stroke who were treated with Pyungwesan and Bowhawhan. The severity of the patient's dysphagia was evaluated with stage of dysphagia according to severity. After treatment, dysphagia were remarkably improved(from stage 5 to 2, 5 to 1). This result shows that Pyungwesan and Bowhawhan could be effective against dysphagia after stroke.

• The Journal of Internal Korean Medicine
• /
• v.44 no.3
• /
• pp.523-535
• /
• 2023

Objectives: This study aims to investigate the anti-inflammatory effect and improvement of dyslipidemia on Hyangsapyeongwi-san. Methods: In this study, HUVEC cells were cultured and treated with Hyangsapyeongwi-san to measure intracellular KLF2, eNOS, MCP-1, ICAM-1, and VCAM-1 gene expression levels related to anti-inflammation. The weight of experimental animals administered with Hyangsapyeongwi-san was measured, blood samples were biochemically analyzed, and liver tissues were reviewed to research histological changes. Results: Gene expression levels in the cells treated with Hyangsapyeongwi-san generally showed a meaningful anti-inflammatory effect. The body weight of the experimental animals decreased, and total cholesterol, triglyceride, and LDL-cholesterol in the blood generally declined while HDL-cholesterol tended to increase. Fat accumulation between hepatocytes was also reduced after the administration of Hyangsapyeongwi-san. Conclusions: This study confirmed that Hyangsapyeongwi-san has the effect of suppressing vascular inflammatory responses through the regulation of genes involved in the vascular inflammatory process and improving dyslipidemia through the reduction of blood lipids and weight loss.

• Annual Conference of KIPS
• /
• 2022.11a
• /
• pp.88-90
• /
• 2022

영어 교육 시장이 증대되면서 영어 학습을 효과적으로 지원하는 다양한 학습 시스템들이 개발되고 있다. 영어문장을 구성하는 기본적인 단위는 어휘로 문장 전체의 의미를 파악하기 위해서는 어휘의 의미를 이해하는 것이 필수적이다. 따라서 영어 어휘 능력 향상을 위한 다양한 영어 어휘 학습 시스템들이 개발되고 있으나, 어휘가 사용되는 문맥을 고려하거나 동시에 학습하면 효과적인 어휘 등 어휘 학습에 효과적인 교수학습 방법의 원리가 적용된 영어 어휘 학습 시스템에 대한 연구는 미비한 상황이다. 본 논문에서는 n 개의 영어 단어가 하나의 그룹으로 동시에 제시되면서 그 n개의 영어 단어가 모두 포함된 예문을 제공하는 지능형 영어 어휘 학습 시스템을 설계한다. 임의로 n 개의 영어 어휘가 주어졌을 경우 문맥에 맞게 영어 예문을 자동으로 생성하는 지능형 영어 문장 생성 모델이 본 연구의 핵심이다. 또한, 어휘 능력 평가에서 기존 어휘 학습 시스템과 같이 단순히 어휘를 얼마나 암기하고 있는지에 대한 평과 결과만을 제시하는 것이 아니라, 그룹별 취약 어휘 분석을 통해 효과적인 그룹 어휘 선택 규칙을 파악할 수 있는 기반을 마련하고자 한다. 본 논문에서 제안한 지능형 영어 어휘 학습 시스템을 통해 영어 어휘 학습자들의 학습 능력 향상에 도움이 될 것으로 기대한다.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2022.05a
• /
• pp.410-410
• /
• 2022

기후변화에 관한 정부간 협의체(Intergovernmental Panel on Climate Change, IPCC)에서는 지난해부터 제6차 평가보고서(Sixth Assessment Report, AR6)를 준비하고 있으며, 최근 Working Group II에서 수행한 기후변화 영향, 적응 및 취약성(Impacts, Adaptation and Vulnerability) 보고서를 공개하였다. 보고서는 기존의 Representative Concentration Pathway (RCP) 시나리오에 사회경제적 조건을 추가로 고려한 Shared Socioeconomic Pathway (SSP) 시나리오를 제시하였고, 세계기후연구프로그램(World Climate Research Programme, WCRP)의 Coupled Model Intercomparison Project (CMIP)에서 제공하는 6단계(Phase 6) 미래 전망 자료를 적용하였다. 본 연구에서는 기후변화로 인한 미래 극한 강우량의 통계적 특성을 파악하기 위하여 CMIP6에서 제공하는 General Circulation Models (GCMs) 기반 미래 강우자료를 수집하여 부산광역시를 중심으로 분석하였다. 4개의 SSP (SSP126, SSP245, SSP370, SSP585) 시나리오별로 10개 GCMs의 모의 결과를 사용하였다. Gumbel 분포형과 확률가중모멘트법을 이용하여 미래 극한 강우량을 산정하였고, 현재 모의기간(S0, 1983-2014) 대비 미래 전망기간(S1, 2015-2044; S2, 2041-2070; S3, 2071-2100)의 변화를 재현기간(return period, T)별로 분석하여 제시하였다.

• The Journal of the Acoustical Society of Korea
• /
• v.25 no.3
• /
• pp.137-143
• /
• 2006

The aim of this paper is to investigate the prosodic characteristics of Korean distant speech. Four speakers (2 males and 2 females) produced 36 2-syllable words in both distant-talking and normal environments. totaling 288 spoken 2-syllable words. The results showed that ratios of second syllable to first syllable in vowel duration and vowel energy were significantly larger in the distant-talking environment compared to the normal environment and f0 range also bigger in the distant-talking environment. In addition, 'HL%' contour boundary tone in the second syllable and/or 'L+H' contour tone in the first syllable were used in the distant-talking environment.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.48 no.4
• /
• pp.729-743
• /
• 2024

This research explores consumer preferences for materials in different clothing product categories, using web-crawling and text mining techniques. Specifically, the study focuses on the material-related terms found in consumer reviews across three distinct product categories: functional clothing, formal shirts, and knit sweaters. Top-selling products within each category were identified on the Naver Shopping website based on the volume of reviews, and the four most-reviewed products were selected. Six hundred reviews per product were analyzed using the Textom big-data analysis software to determine the frequency of material-related mentions and word associations. The analysis utilized two comparative metrics: product category and usage duration. Our findings reveal notable variations in the material preferences mentioned by consumers across different product categories. The study suggests a need to re-evaluate existing standardized review criteria to better reflect consumer interests specific to each product category. Additionally, an increase in material-related terms in reviews over one month indicates the potential importance of extending the duration of product reviews to enhance the accuracy of information that reflects longer-term consumer experiences with material quality.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.10 no.2
• /
• pp.191-202
• /
• 2006

Computer programs for a structure design help the optimum design that considers each condition. however, the findings can not explain accurately a behavior of the real-living structure because each condition of a structure is simplified and generalized. The smart structure is introduced to overcome these problems, and we can understand a behavior of the real-living structure by means of Health Monitoring System. In this study, we compare a behavior by means of the existing structure design with a behavior of the living structure by means of an experiment. As a result, we examine adequacy of a measuring system and developing possibility in the future.