• Journal of the Korean GEO-environmental Society
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• v.2 no.2
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• pp.41-50
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• 2001

In this study, for the stability analysis of marine embankment, the slope stability analysis and possibility of lateral movement with the marine embankment in ${\bigcirc}{\bigcirc}$harbor were carried out. In order to simulate the practical site condition, the expected maximum sea water level and maximum embankment height were assumed for these analyses. For the evaluation of soil properties, field test, laboratory test, and especially chemical composition analysis were performed for the this analysis. Based on these test results, the soil parameters were determined by applying ground improvement concept under columnar stabilized ground condition and also the effect of staged backfilling was considered under the dredged ground condition. For the optimal design, the stability analyses of embankment with changed height and unchanged height were performed under unimproved soil condition. The result showed that both cases were unstable not only with slope stability but also with lateral movement. Therefore, Deep Mortar Piling was applied for stability analysis and this result was safe. As the conclusion, the deep mortar piling method was suggested as reinforced foundation design for this site.

• Journal of Life Science
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• v.18 no.11
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• pp.1479-1484
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• 2008

Deep seawater (DSW) refers to water extracted from the ocean, usually at depths of 200 meters or more, which is rich in inorganic materials and has attracted attention for various applications. We investigated the effects of the DSW on the synaptic maturation of cultured rat hippocampal neurons. Immunocytochemical examination of DIV21 showed that PSD-95, $\alpha$CaMKII, and synGAP$\alpha1$clusters were strengthened and coupling rates of SV2 and NR2B were significantly increased in neurons grown in the presence of H-800 and H-1000 DSW. Our results indicate that DSW promotes the formation of excitatory postsynaptic signal transduction complexes NRC/MASC and functional synapses.

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2012.05a
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• pp.43-44
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• 2012

• Korean Journal of Logic
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• v.13 no.2
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• pp.1-26
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• 2010

The primary purpose of this paper is to examine critically the theory of critical thinking proposed by the late Professor Young-Jung Kim. He defined the basic properties of critical thinking as active reflectivity, and listed deepness, multilaterality and domain-transitivity as primary properties for which critical thinking aims. He, then, pursued how critical thinking can be merged with creativity and proposed the concept 'critico-creative thinking'. I argue that his theory of critical thinking has some limitation, but we can develop his critico-creative thinking further.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.88-106
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• 2022

This study examined the social discourse on consumer boycott and explored consumer experience using text mining of mass media and social media data and the in-depth interview. The result showed that the topics of online news related to the boycott included the causes of the boycott, the responses of each actor in the process of the boycott, and the effects of the boycott. In the result of the in-depth interviews, it was found that the boycott has been decentralized and the participants had the experience of exploring and verifying information on their own. In the boycott process, there were mixed experiences due to the absence of substitutes and the marketing influence, and positive experiences of expressing one's thoughts and strengthening beliefs through the boycott.

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2003.11a
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• pp.251-255
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• 2003

방사성폐기물 관리시설에 관한 신문의 관심은 매우 컸으며, 3개월 동안에 480건의 기사를 8개 신문에서 실었다. 사설도 38건이었으나 상황과 사안에 따라 모든 신문이 정형화된 내용과 비판을 하였다. 기사는 대부분 정부의 보도 자료에 의존한 하거나, 시위소식 등을 전하는 단순사안이었고, 심층보도는 이 사업 추진에 가장 큰 장애요소가 되고 있는 지역주민과 시민단체의 반대논리와 여론을 이해할 수 있도록 전달하지 못하였다. 특히 가장 쟁점이 될 수 있는 방사성폐기물의 위험과 안전에 대해서는 68건의 심층 보도 가운데 17건에서만 언급되고 있었는데, 그 내용도 위험성과 안전에 대한 해설이나 분석기사는 아니었다. 결과적으로 신문은 정부와 지역주민간의 갈등을 해결하는 조화의 장을 이끌어 내거나 제공하지 못하였고, 찬성과 반대 측 전문가들에게 공론의 장을 제공하여 사회적 합의를 도출하는데 기여하지는 못하였다. 오히려 많은 기사 보도의 남발로 방사성폐기물 관리시설에 대한 부정적인 이미지를 부각시키는 영향만 남았다고 판단된다.

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2015.10a
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• pp.215-216
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• 2015

• The Journal of Society for e-Business Studies
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• v.14 no.4
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• pp.181-193
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• 2009

According to the development of web sites' technologies, public institutions use web sites to carry out their business and also to utilize as pathway between government and the people also. Public web records means the result of business process over web sites in public institutions. Although there is much valuable information, it is vanished away easily because there is not yet proper methods and tools for preservation. The purpose of this paper is to design the metadata elements required when archiving deep web records, which is a kind of web records. For that, we first analyze oversea's related researches to define what public deep web records is. Then we define metadata elements about that and also explain the relationship on archival information package in Korea and dublin core metadata to support interoperability for them. The defined metadata can be used for the basis technologies in archiving domestic public web records.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.293-299
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• 2018

The weather has a lot of influence on the cultivation of crops. Weather information on agricultural crop cultivation areas is indispensable for efficient cultivation and management of agricultural crops. Despite the high demand for agricultural weather, research on this is in short supply. In this research, we deal with the production method of agricultural weather in Jeollanam-do, which is the main production area of onions through GloSea5 and deep learning. A deep neural network model using the sliding window method was used and utilized to train daily weather prediction for predicting the agricultural weather. RMSE and MAE are used for evaluating the accuracy of the model. The accuracy improves as the learning period increases, so we compare the prediction performance according to the learning period and the prediction period. As a result of the analysis, although the learning period and the prediction period are similar, there was a limit to reflect the trend according to the seasonal change. a modified deep layer neural network model was presented, that applying the difference between the predicted value and the observed value to the next day predicted value.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.233-239
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• 2020

Due to the development of digital technology, users can record their daily lives without being restricted by time and space. The trend is growing rapidly, but lifelogging cases are still insufficient. Google's Timeline and domestic application 'Daily' were analyzed through in-depth interviews. Based on the Creating Pleasurable Interface Model, the factors influencing user satisfaction were identified by the Reckard 7-point scale based on the Honeycomb model. The results of the in-depth interviews and the 7-point scale were similar, and we could see what and why users preferred the recording application. This study is meaningful to evaluate the user experience for recording application and analyzing the needs of users obtained through in-depth interviews to assess the usability that provide a service record and recall.