• Korean Journal of Audiology
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• v.23 no.3
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• pp.173-174
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• 2019

• Journal of Ginseng Research
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• v.47 no.6
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• pp.685-685
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• 2023

• Dementia and Neurocognitive Disorders
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• v.22 no.3
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• pp.112-113
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• 2023

• Journal of the Korean Society for Aviation and Aeronautics
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• v.25 no.3
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• pp.61-67
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• 2017

The Nose Landing Gear(NLG) of Rotary Wing Aircraft is an essential equipment in Landing System for pilot to perform a flight mission. It supports the fuselage at ground and absorbs the impact from the ground when landing, thereby, these functions sustain operational capability for pilot and crew. However, the A aircraft caused stick-slip behavior when it was stationed on the ground. Therefore, this paper summarizes pilot comment in operation which are classified by cause of occurrence and the troubleshooting process about each comment. It also describes design improvements which was derived from troubleshooting and suggests verification results of flight test.

• English Language & Literature Teaching
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• v.17 no.4
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• pp.49-74
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• 2011

The present paper aims to explore the role of non-negotiated input and output in language acquisition in the context of free Web chat. In order to examine how input and output contribute to language acquisition, with or without meaning negotiation, the present study examined a Korean EFL learner's chat data collected over 6 months. Chat texts across 43 chat sessions were analyzed, along with her comment notes and interviews. The input and output negotiated for meaning were traced throughout all sessions to find evidence that they were linked to acquisition. Other input and output in the interaction were also traced to ascertain if they contributed to acquisition. The chat text analysis, comment notes, and the interviews revealed that the opportunities of meaning negotiation in a free Web chat context was quite limited and that the learner acquired language even in the absence of meaning negotiation. The findings suggest that input and output via Web chat, whether negotiated or non-negotiated, play their respective roles, contributing to different aspects of acquisition.

• Applied Microscopy
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• v.46 no.3
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• pp.127-133
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• 2016

Atom probe tomography is a time-of-flight mass spectrometry-based microanalysis technique based on the field evaporation of surface atoms of a tip-shaped specimen under an extremely high surface electric field. It enables three-dimensional characterization for deeper understanding of chemical nature in conductive materials at nanometer/atomic level, because of its high depth and spatial resolutions and ppm-level sensitivity. Indeed, the technique has been widely used to investigate the elemental partitioning in the complex microstructures, the segregation of solute atoms to the boundaries, interfaces, and dislocations as well as following of the evolution of precipitation staring from the early stage of cluster formation to the final stage of the equilibrium precipitates. The current review article aims at giving a comment to first atom probe users regarding the limitation of the techniques, providing a brief perspective on how we correctly interprets atom probe data for targeted applications.

• Annual Conference on Human and Language Technology
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• 2007.10a
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• pp.122-127
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• 2007

최근 대표적인 1인 미디어의 형태인 블로그는 개인 기록의 수단뿐만 아니라 기업의 홍보에까지 널리 사용되는 인터넷 미디어이다. 그러나 누구나 글을 쓸 수 있다는 자유로움 이면에 이를 이용한 덧글 스팸이 성행이 성행하고 있다. 일반적인 스팸 필터의 경우 그 해당 덧글만을 가지고 스팸 필터링을 한다. 그러나 특성상 스팸인 덧글이 정상인 덧글보다 상대적으로 짧기 때문에 일반적인 덧글 자체만의 필터링 방법으로는 높은 정확도를 기대하기 힘든 단점이 있다. 본 논문에서는 정상인 덧글과 본문간의 내용상의 유사도가 있음을 가정해 이런 정보를 역카이제곱 분류기에 동시출현(co-occurrence) 정보로 부여함으로써 스팸 필터의 정확도를 높이고자 했으며, 실제 그러한 정보를 추가함으로 단순한 확률기반 스팸 필터링 방법을 사용하는 것보다 스팸 필터의 전반적인 성능이 상승되었음을 실험 결과를 통해 알 수 있었다.

• East Asian mathematical journal
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• v.37 no.5
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• pp.599-612
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• 2021

In China, Weibo is one of the social platforms with more users. It has the characteristics of fast information transmission and wide coverage. People can comment on a certain event on Weibo to express their emotions and attitudes. Judging the emotional tendency of users' comments is not only beneficial to the monitoring of the management department, but also has very high application value for rumor suppression, public opinion guidance, and marketing. This paper proposes a two-input Adaboost model based on TextCNN and BiLSTM. Use the TextCNN model that can perform local feature extraction and the BiLSTM model that can perform global feature extraction to process comment data in parallel. Finally, the classification results of the two models are fused through the improved Adaboost algorithm to improve the accuracy of text classification.

• Iberoamérica
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• v.16 no.2
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• pp.151-188
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• 2014

This work aims to describe pragmatic strategies and linguistic features of replies that occur in the comment section of online newspapers. The dominant media in this digital age is the Internet and its rapid development and expansion of use have contributed not only to the change of the form of production of journalistic texts, but also to the consumption of those texts. In the past, the news was transmitted in a unidirectional way but now readers of online newspapers do not remain passively reading the articles. They actively participate in the exchange of opinions with other readers. The individual consumption of journalistic texts has become a collective and social act. The purpose of the study is to investigate the communication intention of the users of comment sections and analyze the linguistic formulation of replies. We attempt to discover specific aspects of replies and responses for online newspaper articles, considering them as an independent type of Computer Mediated Communication (Internet Mediated Communication). Observing language attitudes appearing in the electronic environment and discovering the characteristics of the Spanish language on the Internet will allow us to contribute to understand the theoretical aspects related to the CMO better.

• Asia pacific journal of information systems
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• v.27 no.1
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• pp.54-76
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• 2017

The purpose of marketing via Facebook is to convince consumers to become fans of a brand. Facebook constructs virtual brand communities that enable brand fans to interact with these brands. This study investigates the antecedents and consequences of fan participation characterized by the breadth and depth of brand fans' like, comment, and share activities. An empirical analysis with 204 survey respondents reveals that expected benefits, such as brand information, social interaction ties, playfulness, and incentive, have positive effects on fan participation. Furthermore, fan participation increases fan's attitudinal loyalty, which then positively affects behavioral loyalty. Theoretical and practical implications of the findings as well as future research directions are also discussed.