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Al$_2$O$_3$ Growth Control Using Expert Hybrid Controller (전문가 제어기를 이용한 단결정(Al$_2$O$_3$) 성장 제어)

  • 조현섭;민병조
    • Proceedings of the KAIS Fall Conference
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    • 2001.05a
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    • pp.265-268
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    • 2001
  • Robust control for DC motor is needed according to the highest precision of industrial automation. It is a quite quality concerning to control temperature of single crystalline growth as it does when you get most of heat treating products. It is also Important factor to control temperature when you make the A1203(sing1e crystalline) used to artificial Jewels, glass of watches, heat resistant transparent glasses. Thus, it is a major interest to get the proper temperature in accordance with the time process while you are making mixture of oxygen and hydrogen to have the right temperature. In this paper, we will study of electrical valve positioning system f3r the gas mixture to improve the quality of products.

Implementation of Position Control DC-Motor for $Al1_2O_3$ Growth ($Al_2O_3$성장을 위한 DC-MOTOR의 위치 제어 구현)

  • Lee Hyung-Chung;Park Chong Kug;Cho Hyeon-Seob
    • Proceedings of the KAIS Fall Conference
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    • 2004.06a
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    • pp.213-216
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    • 2004
  • It is a quite quality concerning to control temperature of single crystalline growth as it does when you get most of heat treating products. It is also important factor to control temperature when you make the $A1_2O_3$(single crystalline) used to artificial jewels, glass of watches, heat resistant transparent glasses. Thus, it is a major interest to get the proper temperature in accordance with the time process while you are making mixture of oxygen and hydrogen to have the right temperature. In this paper, we will study of electrical valve positioning system for the gas mixture to improve the quality of products.

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Electrical Breakdown in Flames

  • Han, S.Uhm
    • Proceedings of the Korean Vacuum Society Conference
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    • 2000.02a
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    • pp.187-187
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    • 2000
  • Properties of electrical discharge in flames are investigated by making use of the ionization cross section of air. Fames have three distictive features. They are hot, emit light and are weakly ionized. We investigate influence of these three characteristics of flames on the electrical breakdown. It is found that the breakdown electric field in flames is inversely proportional to the flame temperature, thereby easily generating plasmas in flames. A swarm of low-energy electrons in flames would allow significant population of electronically excited states of flame molecules to be formed. Therefore, the analysis shows that the electronic excitation of flame molecules may also considerably reduce the breakdown field. Plasma electrons generate atomic oxygens by the electron attachment of oxygen molecules in high-pressure flames. These oxygen atoms are the most reactive radicals in flames for material oxidation. How are you and your family in this new year\ulcorner Professor Choi! I plan to go back Korea on February 6. All my family members are fine and have good time because I am here. Once I am in Korea, I will call you. I am always grateful for your helpful hand. Thank you so much.

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A Study on Baihe Disease(百合病) Texts in "The Esseence of the Synopsis of the Golden Chamber" ("금궤요략심전" 백합병(百合病) 조문에 대한 연구)

  • Li, Xian-Lan;Lee, Yong-Bum
    • Journal of Korean Medical classics
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    • v.20 no.1
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    • pp.1-10
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    • 2007
  • "The Essence of the Synopsis of the Golden Chamber" is an annotated book on the "Synopsis of the Golden Chamber" written by You-Yi(尤怡) of the Qing Dynasty (1729). Chapter 3 of this annotated book contains explanations of BaiheDisease(百合病). You-Yi(尤怡) maintained that the cause of Baihe-Disease(百合病) is a deficient-type fever(虛熱) induced by lung-fluid deficiency(肺陰不足). Generally, a higher fever led to a worse prognosis, and this disease was mainly treated by supplement methods(補法). In his pharmacological explanations, You-Yi(尤怡) often used the analogical inference of the five evolutive phases(五行歸類), and he frequently quoted "The Yellow Emperor's Canon of Internal Medicine(黃帝內經)" and "The Medical Secret of an Official(外臺秘要)" to explain the texts.

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Design and Implementation of NUI-based Athletic Scene Generation System

  • Choi, Jong-In
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.1
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    • pp.115-120
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    • 2019
  • In this paper, we propose a system and an intuitive interface that can create an athletic scene among athletes. We allow you to enter motion as if you were playing a game, so that the user's action becomes the player's action. The user can take various actions in front of the motion sensor and control the object flying to him. When a user specifies an opponent to pass or attack, and takes appropriate action in front of the motion sensor, the movement trajectory of the object is automatically generated by the physical optimization technique in accordance with the motion. In this way, you can create scenes where multiple players play together in a virtual environment. The method of this paper will be very useful for rapid prototyping for cinematic trailers of based on athletics games or animations.

A Study of Media Trust Factors using YouTube Data (YouTube 데이터를 활용한 미디어 트러스트 요소 연구)

  • Moon, Seunghyeon;Jung, Sungkwan;Park, Heamin
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2018.11a
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    • pp.158-159
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    • 2018
  • 정보 통신 기술이 발전함에 따라, 적절한 검증을 거치지 않은 미디어 콘텐츠가 공급되고 소비되는 미디어 소비 환경이 형성되고 있다. 이러한 환경에서는 적절치 않은 미디어 콘텐츠의 유통을 제어 하기 위해 기존의 보안 및 인증 기술을 적용하는데 한계가 있기에 새로운 접근 방법의 고민이 필요하다. 본 연구에서는, 건전한 미디어 콘텐츠 소비환경 조성을 위한 미디어 트러스트(Trust)의 개념을 정립하고, 이를 위한 미디어 트러스트에 영향을 주는 4 가지 트러스트 요소들을 제안한다. 그리고, 제안된 요소들의 유효성을 검증하기 위한 YouTube 데이터의 활용 방안에 대해 기술한다. 이러한 접근 방법을 통해 미디어 소비환경에서의 트러스트 개념에 대한 연구 및 기술개발을 활성화 시키고자 한다.

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Comparison of Machine Learning Techniques for Cyberbullying Detection on YouTube Arabic Comments

  • Alsubait, Tahani;Alfageh, Danyah
    • International Journal of Computer Science & Network Security
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    • v.21 no.1
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    • pp.1-5
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    • 2021
  • Cyberbullying is a problem that is faced in many cultures. Due to their popularity and interactive nature, social media platforms have also been affected by cyberbullying. Social media users from Arab countries have also reported being a target of cyberbullying. Machine learning techniques have been a prominent approach used by scientists to detect and battle this phenomenon. In this paper, we compare different machine learning algorithms for their performance in cyberbullying detection based on a labeled dataset of Arabic YouTube comments. Three machine learning models are considered, namely: Multinomial Naïve Bayes (MNB), Complement Naïve Bayes (CNB), and Linear Regression (LR). In addition, we experiment with two feature extraction methods, namely: Count Vectorizer and Tfidf Vectorizer. Our results show that, using count vectroizer feature extraction, the Logistic Regression model can outperform both Multinomial and Complement Naïve Bayes models. However, when using Tfidf vectorizer feature extraction, Complement Naive Bayes model can outperform the other two models.

COVID-19 Vaccination for Pilots and Air Traffic Controllers (항공종사자와 코로나바이러스감염증-19 백신 예방 접종)

  • Kwon, Young Hwan
    • Korean journal of aerospace and environmental medicine
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    • v.31 no.1
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    • pp.13-16
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    • 2021
  • The coronavirus disease-19 (COVID-19) vaccine is expected to play an important role in stopping the pandemic. Studies show that COVID-19 vaccines are effective at keeping you from getting COVID-19. Getting a COVID-19 vaccine will also help keep you from getting seriously ill even if you do get COVID-19. Efforts to find an effective vaccine against severe acute respiratory syndrome coronavirus 2 have progressed unprecedentedly through active support from public research grants and private-public partnership programs. Clinical studies have been actively conducted, and some vaccines are being vaccinated with approval for urgent use. The WHO has approved and supplied the Pfizer-BioNTech COVID-19 vaccine and the Oxford-AstraZeneca COVID-19 vaccine. In Korea, the Oxford-AstraZeneca vaccine was approved for urgent use, and vaccination began on February 26, 2021. In this paper, the efficacy and side effects of each vaccines and the effect on pilots and air traffic controllers related to COVID-19 vaccination were investigated in terms of aviation medicine.

Conveyed Message in YouTube Product Review Videos: The discrepancy between sponsored and non-sponsored product review videos

  • Kim, Do Hun;Suh, Ji Hae
    • The Journal of Information Systems
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    • v.32 no.4
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    • pp.29-50
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    • 2023
  • Purpose The impact of online reviews is widely acknowledged, with extensive research focused on text-based reviews. However, there's a lack of research regarding reviews in video format. To address this gap, this study aims to explore the connection between company-sponsored product review videos and the extent of directive speech within them. This article analyzed viewer sentiments expressed in video comments based on the level of directive speech used by the presenter. Design/methodology/approach This study involved analyzing speech acts in review videos based on sponsorship and examining consumer reactions through sentiment analysis of comments. We used Speech Act theory to perform the analysis. Findings YouTubers who receive company sponsorship for review videos tend to employ more directive speech. Furthermore, this increased use of directive speech is associated with a higher occurrence of negative consumer comments. This study's outcomes are valuable for the realm of user-generated content and natural language processing, offering practical insights for YouTube marketing strategies.

A Study On YouTube Fake News Detection System Using Sentence-BERT (Sentence-BERT를 활용한 YouTube 가짜뉴스 탐지 시스템 연구)

  • Beom Jung Kim;Ji Hye Huh;Hyeopgeon Lee;Young Woon Kim
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.667-668
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    • 2023
  • IT 기술의 발달로 인해 뉴스를 제공하는 플랫폼들이 다양해 졌고 최근 해외 인터뷰 영상, 해외 뉴스를 Youtube Shorts형태로 제작하여 화자의 의도와는 다른 자막을 달며 가짜 뉴스가 생성되는 문제가 대두되고 있다. 이에 본 논문에서는 Sentence-BERT를 활용한 YouTube 가짜 뉴스 탐지 시스템을 제안한다. 제안하는 시스템은 Python 라이브러리를 사용해 유튜브 영상에서 음성과 영상 데이터를 분류하고 분류된 영상 데이터는 EasyOCR을 사용해 자막 데이터를 텍스트로 추출 후 Sentence-BERT를 활용해 문자 유사도를 분석한다. 분석결과 음성 데이터와 영상 자막 데이터가 일치한 경우 일치하지 않은 경우보다 약 62% 더 높은 문장 유사도를 보였다.