• Journal of Digital Convergence
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• v.19 no.11
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• pp.359-364
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• 2021

Recently, research on predictive systems using deep learning and machine learning of artificial intelligence is being actively conducted. Due to the development of artificial intelligence, the role of the investment manager is being replaced by artificial intelligence, and due to the higher rate of return than the investment manager, algorithmic trading using artificial intelligence is becoming more common. Algorithmic trading excludes human emotions and trades mechanically according to conditions, so it comes out higher than human trading yields when approached in the long term. The deep learning technique of artificial intelligence learns past time series data and predicts the future, so it learns like a human and can respond to changing strategies. In particular, the LSTM technique is used to predict the future by increasing the weight of recent data by remembering or forgetting part of past data. fbprophet, an artificial intelligence algorithm recently developed by Facebook, boasts high prediction accuracy and is used to predict stock prices and cryptocurrency prices. Therefore, this study intends to establish a sound investment culture by providing a new algorithm for automatic cryptocurrency trading by analyzing the actual value and difference using fbprophet and presenting conditions for accurate prediction.

• Science of Emotion and Sensibility
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• v.17 no.3
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• pp.39-48
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• 2014

Good and bad luck is an important factor that frequently affects human information processing. However, in spite of its significance, few studies have been done to examine how good and bad luck influences information processing and reasoning. The current research was performed to explore the effect of good and bad luck on reasoning and, for this, two experiments were conducted. In experiment 1, participants were primed with good or bad luck and were asked to make an inference for a given murder case and include as many as clues for it, while in experiment 2, participants were asked to exclude as many as clues for the same murder case. Results show that, in experiment 1, participants who were primed with good luck included more clues than those who were primed with bad luck. However, in Experiment 2, it was found that participants who were primed with bad luck excluded more clues than those who were primed with good luck. Findings from this study indicate that priming good luck enhances holistic thinking which leads to including more and excluding less clues whereas priming bad luck increases analytic thinking which leads to including less and excluding more clues. Implications of this study for inference and decision making, consumer behavior, and addict psychology are discussed.

• Journal of Life Science
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• v.21 no.2
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• pp.286-291
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• 2011

Hypoxia is a common condition found in a wide range of solid tumors and is often associated with metastasis and poor clinical outcomes. In the present study, we found that HIF-$1{\alpha}$ was induced by cobalt chloride (500 ${\mu}M$) treatment on human lung cancer cells, A549 and H460, for 24 hr. However, cobalt chloride (500 ${\mu}M$) did not affect cell proliferation of A549 and H460 in 48 hr. Cobalt chloride (500 ${\mu}M$) additionally induced epithelial-to-mesenchymal-like transition (EMT) such as reduced E-cadherin expression and increased ${\alpha}$-SMA expression. These results were confirmed by immunofluorecence experiment in H460 cells. E-cadherin was localized on the outer cell membrane. However, when the cells were treated with 500 ${\mu}M$ cobalt chloride for 24 hr, diffuse E-cadherin staining was observed, characteristic of a migratory mesenchymal phenotype. We also found that cobalt chloride induced integrin ${\beta}3$ expression and FAK phosphorylation in human lung cancer cells using western blotting and FACS anlaysis. Our data suggest that integrin ${\beta}3$-induced FAK phosphorylation may be developed into target molecules for blocking tumor metastasis.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.39 no.2
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• pp.147-152
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• 2015

We designed, fabricated, and tested the capacitive microsensors for skin piloerection monitoring. The performance of the skin piloerection monitoring sensor was characterized using the artificial bump, representing human skin goosebump; thus, resulting in the sensitivity of $-0.00252%/{\mu}m$ and the nonlinearity of 25.9 % for the artificial goosebump deformation in the range of $0{\sim}326{\mu}m$. We also verified two successive human skin piloerection having 3.5 s duration on the subject's dorsal forearms, thus resulting in the capacitance change of -6.2 fF and -9.2 fF compared to the initial condition, corresponding to the piloerection intensity of $145{\mu}m$ and $194{\mu}m$, respectively. It was demonstrated experimentally that the proposed sensor is capable to measure the human skin piloerection objectively and quantitatively, thereby suggesting the quantitative evaluation method of the qualitative human emotional state for cognitive human-machine interfaces applications.

• Knowledge Management Research
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• v.24 no.4
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• pp.153-176
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• 2023

Generative AI, especially conversational AI like ChatGPT, has recently gained traction as a technological alternative for automating customer service. However, there is still a lack of research on whether current generative AI technologies can effectively replace traditional human managers in customer service automation, and whether they are advantageous in some situations and disadvantageous in others, depending on the conditions and environment. To answer the question, "Can generative AI replace human managers in customer service activities?", this study conducted experiments and surveys on customer online reviews of a food delivery platform. We applied the perspective of the elaboration likelihood model to generate hypotheses about whether there is a difference between positive and negative online reviews, and analyzed whether the hypotheses were supported. The analysis results indicate that for positive reviews, generative AI can effectively replace human managers. However, for negative reviews, complete replacement is challenging, and human managerial intervention is considered more desirable. The results of this study can provide valuable practical insights for organizations looking to automate customer service using generative AI.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2003.05b
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• pp.358-361
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• 2003

우리의 생활 주변에는 자연적으로 배출되는 오염물질과 인간의 사회활동을 통해서 발생하는 인위적인 오염물질이 있다. 배출원에서 발생하는 오염물질은 배출조건이나 주변지역의 장애물, 또는 기상조건 등과 같은 많은 변수들 때문에 오염물질의 확산에 많은 영향을 받는다. 따라서 실제 대기 중의 복잡한 확산특성을 이해하기 위해서는 바람특성에 대한 보다 정확한 정보가 필요하다. 이러한 확산조건을 정확히 파악하기 위해서는 현장에서 장기간의 시간을 가지고 실측 데이터를 얻는 것이 가장 좋으나 이는 경제적 또는 실험적인 한계로 인해 불가능하다. (중략)

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1998.11a
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• pp.214-218
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• 1998

칼라 영상은 단색조의 영상에 비해 인간의 시각을 크게 향상시킨다. 따라서 칼라 영상 처리에 관한 연구는 매우 중요하다. 칼라 영상은 센서 잡음이나 채널 전송 에러에 의해 생기는 잡음에 의해 자주 오염되어진다. 이러한 칼라 잡음을 제거하기 위해 여러 형태의 필터들이 개발되어 왔는데 혼합된 잡음에서 벡터 $\alpha$-trimmed 평균 필터는 우수한 성능을 보였다. 그러나, 벡터 $\alpha$-trimmed 평균 필터는 필터링 과정이 영상의 전 영역에 걸쳐 균일하게 적용되어지기 때문에 윤곽선 이동이 일어나 blurring 현상이 심하게 나타나는 문제점이 있다. 이러한 문제점을 개선하기 위해 본 논문에서는 윤곽선 영역과 smooth 영역을 구분한 뒤 각 영역에 적합한 선택적인 필터링을 하는 조건적인 퍼지 클러스터 필터를 제안하였고 제안된 조건적인 퍼지 클러스터 필터는 기존의 벡터 $\alpha$-trimmed 평균 필터에 비해 혼합된 잡음에서 우수한 성능을 보였다.

• Journal for History of Mathematics
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• v.19 no.1
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• pp.43-54
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• 2006

The purpose of this paper, followed by 'Nature$\cdot$Human, and Golden Section I ', is to study aesthetic consciousness, mentality model and body proportion of human, and the golden section applied to architecture and hand axe of stone age. In particular, handaxes of one million years ago have shown that they had critical competency to the basis of art and mathematics in the future. Furthermore, without pen, paper and ruler, the existence of mentality model made fundamental conversion of mathematics possible. Different sizes of handaxes were made by maintaining the equal golden section. This was the first example in relation to the principle mentioned in 'Stoicheia' by Euclid which was published hundred thousands of years later.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.249-255
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• 2018

This paper presents a human-centered control algorithm for personalized autonomous driving based on the integration of inverse time-to-collision and time headway. In order to minimize the sense of difference between driver and autonomous driving, the human-centered control technology is required. Driving characteristics in case that vehicle drives with the preceding vehicle have been analyzed and reflected to the longitudinal control algorithm. The driving characteristics such as acceleration, inverse time-to-collision, time headway have been analyzed for longitudinal control. The control algorithm proposed in this study has been constructed on Matlab/Simulink environment and the performance evaluation has been conducted by using actual driving data.

• The Journal of the Convergence on Culture Technology
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• v.1 no.1
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• pp.27-36
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• 2015

The purpose of this research is to try to enrich human life by applying the convergence energy of humanities and science to modern poetry. "Communication and entertainment", as modern poetry with modernist aesthetics, must indulge people's lives, which is simply to live happy lives. Entertainment is especially crucial because it is a method through which people can lead humane and satisfactory lives. The prerequisites for achieving this are true liberty and happiness. If these two prerequisites derive from humanity's consciousness, "communication and entertainment" can be born from "convergence of information technology and modern poetry", as the author insisted.