• Tunnel and Underground Space
• /
• v.18 no.5
• /
• pp.338-342
• /
• 2008

Longitudinal deformation profile(LDP) has been obtained mostly by numerical analysis. In this study, LDP was plotted by measured data from horizontal inclinometer and crown settlement. Deformation of foe ahead was determined by comparing to the maximum deformation point and deformation of after excavation was determined by regression of the measured crown settlement data. The result shows that crown deformation began as f3r as 3D ahead of the face. Crown settlement at the face was 40% of ultimate deformation, which was 10% higher than numerical results, and the deformation converged after excavation of 4D.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2022.05a
• /
• pp.176-176
• /
• 2022

자연 하천의 종단면도를 살펴보면 상류 지역의 경사는 가파른 반면, 하류 지역으로 내려갈수록 완만해지는 부드러운 오목한 형태가 나타난다. 이러한 종단은 유량, 유사량, 수리기하, 하상 입자의 크기와 분포 등이 복합적으로 작용하여 형성되는 것으로 알려져 있다. 이러한 종단면도에 대한 모의는 지형이 동적평형상태에 이를 때까지 장기간에 걸친 모의를 통해 살펴볼 수 있을 것이다. 단, 그러한 가정은 하천종단 형성에 관여하는 모든 변수에 대한 정량화가 잘 이루어졌을 때 가능할 것이다. 여기서 가장 불확실성이 큰 것은 하천의 유사량을 추정하는 공식일 것이다. 이 연구에서는 유사량이송공식의 변수에 어떠한 값을 적용하느냐에 따라 자연스러운 하천 종단이 형성되는지 지표변화모형을 통해 밝히고자 하였다. Schoklitsch 식을 적용한 LEGS 수치 모형으로 모의를 진행하였으며, 각각의 조건에서 도출된 종단면도의 오목도와 적용한 변수 간의 관계를 비교하였다. 또한, 이에 대한 민감도 분석 수행을 통해 자연 하천에서 확인할 수 있는 특징의 원인을 찾고자 하였다.

• Journal of Global Scholars of Marketing Science
• /
• v.2
• /
• pp.81-92
• /
• 1998

기업이 직면하고 있는 환경은 과거 어느 때보다 더 불확실하다. 생존을 위한 노력의 일환으로 강력한 예산통제를 실시하고 있는 기업의 최고경영자는 가장 우선적으로 마케팅활동부문을 고려대상으로 여긴다. 이러한 성향은 기업내에서 마케팅활동의 결과인 마케팅성과를 명확하게 파악하기 어렵기 때문에 나타난다. 따라서 본 연구에서는 마케팅성과의 지표인 마케팅효과성을 측정하기 위한 하나의 방법을 제안하고, 이 방법이 전략적 마케팅계획수립을 위한 다양한 도구중 하나로 사용가능한지를 실증조사를 통해 살펴보았다. 먼저 마케팅효과성의 지표로 사용 가능한 10개의 기준변수를 찾고, 발견된 지표들의 총가치를 계산함으로써 마케팅효과성의 수준을 나타내는 수치를 도출하였다. 식음료, 섬유/의류, 제약, 화학, 전기/전자, 기타 소비재 제조업체로부터 얻은 53개 설문자료를 통해 마케팅효과성을 측정하기 위한 4개의 방정식(마케팅믹스성과, 마케팅비용과 투자성과, 판매성과, 이익성과)을 도출할 수 있었다. 그러나 예비적 성격을 띄고 있는 본 연구는 표본기업의 수가 적고, 한정된 업종에 제한과 횡단적 분석 등으로 인해 일반화에 한계를 지니고 있다. 향후 효과성지표에 대한 정교한 목록개발과 종단적 연구를 통한 질적, 양적 지표의 성과간 비교와 가중치 변화추이에 따른 효과성측정 등의 추가적 연구가 수반되어야 한다.

• The Journal of the Korea Contents Association
• /
• v.13 no.12
• /
• pp.439-446
• /
• 2013

The purpose of this study is to analyze the status and the competitiveness improvement of character industry comparing to relative LQ index of the no. of character company, the no. of employee and the amount of revenue of 2007, 2009, and 2010 between including Metro area and regional blocks(kangwon, chungchung, daekung, honam, dongnam and jeju region). The results of this research are as follows. In case whole regional analysis, no. of employee and no. of character company suggested jeju, dongnam and Metro have high competitiveness during the 3 years and amount of revenue suggested consistent high competitiveness 6 block except Metro. But in case of except of Metro, no. of character company and the no. of employee indicated dongnam and jeju showed competitiveness during 3 years. Chungchung area indicated high competitiveness at no. of employee(2009) and no. of character company(2011). The amount of revenue indicated jeju area have high competitiveness during 3 years.

• The Korean Journal of Applied Statistics
• /
• v.36 no.1
• /
• pp.1-19
• /
• 2023

The purpose of this study was to find out what attributes are valid for the edge between students through longitudinal network analysis, and the results of TERGM (temporal exponential random graph model) and SAOM (stochastic actor-oriented model) statistical models were compared. The TERGM model interprets the research results based on the edge formation of the entire network, and the SAOM model interprets the research results on the surrounding networks formed by specific actors. The TERGM model expressed the influence of a previous time through a time term, and the SAOM model considered temporal dependence by implementing a network that evolves by an actor's opportunity as a ratio function.

• Phonetics and Speech Sciences
• /
• v.12 no.2
• /
• pp.29-37
• /
• 2020

Recently, the neural network-based deep learning algorithm has dramatically improved performance compared to the classical Gaussian mixture model based hidden Markov model (GMM-HMM) automatic speech recognition (ASR) system. In addition, researches on end-to-end (E2E) speech recognition systems integrating language modeling and decoding processes have been actively conducted to better utilize the advantages of deep learning techniques. In general, E2E ASR systems consist of multiple layers of encoder-decoder structure with attention. Therefore, E2E ASR systems require data with a large amount of speech-text paired data in order to achieve good performance. Obtaining speech-text paired data requires a lot of human labor and time, and is a high barrier to building E2E ASR system. Therefore, there are previous studies that improve the performance of E2E ASR system using relatively small amount of speech-text paired data, but most studies have been conducted by using only speech-only data or text-only data. In this study, we proposed a semi-supervised training method that enables E2E ASR system to perform well in corpus in different domains by using both speech or text only data. The proposed method works effectively by adapting to different domains, showing good performance in the target domain and not degrading much in the source domain.

• Journal of the Korean Society for Library and Information Science
• /
• v.57 no.1
• /
• pp.93-114
• /
• 2023

Information extraction can facilitate the intensive analysis of documents by providing semantic triples which consist of named entities and their relations recognized in the texts. However, most of the research so far has been carried out separately for named entity recognition and relation extraction as individual studies, and as a result, the effective performance evaluation of the entire information extraction systems was not performed properly. This paper introduces two models of end-to-end information extraction that can extract various entity names in clinical records and their relationships in the form of semantic triples, namely pipeline and joint models and compares their performances in depth. The pipeline model consists of an entity recognition sub-system based on bidirectional GRU-CRFs and a relation extraction module using multiple encoding scheme, whereas the joint model was implemented with a single bidirectional GRU-CRFs equipped with multi-head labeling method. In the experiments using i2b2/VA 2010, the performance of the pipeline model was 5.5% (F-measure) higher. In addition, through a comparative experiment with existing state-of-the-art systems using large-scale neural language models and manually constructed features, the objective performance level of the end-to-end models implemented in this paper could be identified properly.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.6
• /
• pp.482-494
• /
• 2016

This study examines the longitudinal trends regarding awareness of informatization, Information Technology (IT) use, and attitudes towards IT among older adults aged 60 or over. Surveys were conducted in 2004 and 2014 at senior welfare centers in Seoul, Korea. The trends between 2004 and 2014 showed that the rate of Internet use increased among older adults who lived alone, were aged 70 or over, had middle education level, had low income, or were unemployed. Older adults had positive attitudes towards IT, and users were more positive than non-users. The levels of IT use were low among users, and their reasons for IT use were for psychological, emotional, and practical purposes. For non-users of IT, their passive tendencies toward IT use and informatization were amplified. As such, the state of IT use and attitudes toward it among older adults in Seoul were longitudinally different, and the differences in awareness and ability between users and non-users tended to increase.

• Journal of Digital Convergence
• /
• v.12 no.11
• /
• pp.123-131
• /
• 2014

The concentration phenomenon in physical space has taken place along with the proliferation of ICT in South Korea, especially the concentration in Gangnam_Gu district of plastic surgery clinics. In this study, we examine longitudinally whether the proliferation of ICT is related with the concentration in the physical space: focused plastic surgery clinics in Gangnam_Gu district. To do this, we extend the previous study(Cho and Choi, 2012). We examine the homogeneity between websites of plastic surgery clinics in Gangnam_Gu and those besides Gangnam_Gu plastic surgery's website. Multiple Discriminant Analysis (MDA) technique is mainly used for this analysis. The 401 sample websites in 5 years from 2006 to 2011 are mainly investigated. As a result, plastic surgery websites in Gangnam_Gu are not homogeneous than those of elsewhere with significance during 5 years consistently. Therefore, we can conclude that the expansion of ICT has an association with the spatial concentration of plastic surgery in Gangnam_Gu.

• The Journal of the Korea Contents Association
• /
• v.19 no.12
• /
• pp.279-288
• /
• 2019

The purpose of this study was to compare the health behaviors and health indices according to whether a percutaneous coronary intervention(PCI) was performed due to chest pain. This is a secondary data analysis study of nursing information questionnaires and electronic medical records of 247 chest pain patients in a hospital from January 2010 to December 2017. The participants were divided into non-PCI and PCI groups, and the health behaviors, blood pressure, and blood lipid levels were collected at the first hospital admission and re-admission. Collected data were analyzed using SPSS 24.0. As a result of the study, smoking and lipid levels were significantly healthier than the participants in PCI group during re-hospitalization. Non-PCI group had a high risk of smoking despite the high risk of coronary artery stenosis. It was found that continuous integrated management to promote health behavior is needed. The significance of this study was to identify the importance of health behavior in patients with the risk of cardiovascular disease.