• 제목/요약/키워드: T-S models

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EUROSTAG을 이용한 안정도 해석용 제어계 모델 개발 PART II - 안정도 해석 (Development of Dynamic Models of EUROSTAG for Stability Study PART II - Stability Study)

  • 김학만;오태규;전영환;김슬기;송석하
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 하계학술대회 논문집 A
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    • pp.68-70
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    • 2001
  • Because of the difficulty of acquiring new generation sites and right- of-way, additional units have been added to the existing generation sites and the transmission system has been developed into highly meshed configuration. The reliable operation of power systems has been restricted by this system characteristics. The enhancement of system analysis techniques and establishment of appropriate measures have been required in this situation. In addition the deregulation of electric power industry in Korea would give rise to better tools fur power system analysis and control. In this paper, dynamic models were developed and stability studies were implemented using developed dynamic models of EUROSTAG and compared with the simulation results of PSS/E.

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등가 드로우비드 이론 모델 검증 (Verification of Theoretical Model for Equivalent Drawbend)

  • 문성준;금영탁
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2008년도 추계학술대회 논문집
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    • pp.367-369
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    • 2008
  • A theoretical model of equivalent drawbead for sheet metal forming analysis is experimentally verified in this paper. After the theoretical drawbead models improved a material description for the accurate calculation of drawbead forces are briefly introduced, they are verified by showing the good agreement of their drawbead forces with experimental measurements. Furthermore, the excellence of theoretical models is demonstrated by the comparison with those of commercial codes.

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Reflection and Challenge for Science and Technology Policy Studies in Korea

  • Yi, Chan-Goo;Kwon, Ki-Seok;Kim, EunMi;Oh, HyounJeong;Jeong, Seohwa
    • Asian Journal of Innovation and Policy
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    • 제7권2호
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    • pp.382-410
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    • 2018
  • We have identified the paradigm, the knowledge structure, and the roles of S&T policy studies in Korea by empirical analysis and focus group interviews. First, it provisionally concluded that S&T policy studies in Korea are still in the pre-paradigm stage. Specifically, the level of consensus among scholars about the "academic definition of discipline" and "research scope", which is essential for an independent discipline, is still low. Next, a great part of the existing S&T policy studies in Korea is excessively weighted in specific research scopes and researcher groups. For a balanced development as an academic discipline, such imbalance must be overcome. Third, the studies in Korea showed that much of the research in the earlier stage was fragmented at the micro-level. More recently, however, S&T policy studies show co-evolutionary patterns, which increase the responsiveness of the society. Based on this analysis, the future direction of studies should form a unique flow of our own, building Korean policy cases and models rather than following those developed countries.

Indirect Adaptive Fuzzy Observer Design

  • Yang, Jong-Kun;Hyun, Chang-Ho;Kim, Jae-Hun;Kim, Eun-Tai;Park, Mi-Gnon
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2004년도 추계학술대회 학술발표 논문집 제14권 제2호
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    • pp.192-196
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    • 2004
  • This paper proposes an alternative observation scheme, T-S fuzzy model based indirect adaptive fuzzy observer. Nonlinear systems are represented by fuzzy models since fuzzy logic systems are universal approximators. In order to estimate the unmeasurable states of a given nonlinear system, T-S fuzzy modeling method is applied to get the dynamics of an observation system. T-S fuzzy system uses the linear combination of the input state variables and the modeling applications of them to various kinds of nonlinear systems can be found. The adaptive fuzzy scheme estimates the parameters comprising the fuzzy model representing the observation system. The proposed indirect adaptive fuzzy observer based on T-S fuzzy model can cope with not only unknown states but also unknown parameters. In the process of deriving adaptive law, the Lyapunov theory and Lipchitz condition are used. To show the performance of the proposed observation method, it is applied to an inverted pendulum on a cart.

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Indirect Adaptive Fuzzy Observer Design

  • Yang, Jong-Kun;Hyun, Chang-Ho;Kim, Jae-Hun;Kim, Eun-Tai;Park, Mignon
    • 한국지능시스템학회논문지
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    • 제14권7호
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    • pp.927-933
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    • 2004
  • This paper proposes an alternative observation scheme, T-S fuzzy model based indirect adaptive fuzzy observer. Nonlinear systems are represented by fuzzy models since fuzzy logic systems are universal approximators. In order to estimate the unmeasurable states of a given nonlinear system, T-S fuzzy modeling method is applied to get the dynamics of an observation system. T-S fuzzy system uses the linear combination of the input state variables and the modeling applications of them to various kinds of nonlinear systems can be found. The adaptive fuzzy scheme estimates the parameters comprising the fuzzy model representing the observation system. The proposed indirect adaptive fuzzy observer based on T-S fuzzy model can cope with not only unknown states but also unknown parameters. In the process of deriving adaptive law, the Lyapunov theory and Lipchitz condition are used. To show the performance of the proposed observation method, it is applied to an inverted pendulum on a cart.

시설보호아동의 역할모델에 따른 학교적응 및 미래관의 차이 (School Adjustment and Future Time Perspectives of Children in Institutional Care According to Their Role Models)

  • 신미영;강현아
    • 대한가정학회지
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    • 제50권4호
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    • pp.73-87
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    • 2012
  • The purpose of this study was to analyze the difference in school adjustment and future time perspectives, according to the characteristics in regards to the role models of the children in institutional facilities. Data for this study were obtained from a survey conducted on 310 children aged 11-13. Data were analyzed using various statistical methods such as frequency analysis, chi-square test, t-test, one-way ANOVA, and one-way ANCOVA. The main findings of this study were as follows. First, overall, the majority of children selected entertainers and celebrities as their role models. Also, we found differences in children's school adjustment according to their background variables (gender, staying with their siblings, and having parents alive). Second, having role models was significantly related to the levels of school adjustment as well as the positive future time perspectives of the children. Based on the results, practical implications for children in institutional care were discussed.

표본 선택 모형을 이용한 국내 여성 임금 데이터 분석 (Korean women wage analysis using selection models)

  • 정미량;김미정
    • Journal of the Korean Data and Information Science Society
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    • 제28권5호
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    • pp.1077-1085
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    • 2017
  • 본 연구에서는 한국노동연구원의 "2015년 한국노동패널조사 (KLIPS)" 자료를 활용하여 국내 여성의 임금 결정요인을 분석하기 한다. 일반적으로 임금 자료는 랜덤 추출이 불가능하기 때문에 분석하기가 쉽지 않다. 표본 선택 편의 (sampling bias)가 있는 자료를 분석하는 방법으로 Heckman 표본 선택 모형이 가장 널리 알려져 있다. Heckman은 크게 두 가지 모형을 제안했는데, 그 중 하나는 최대 우도 방법을 이용하는 것이고, 다른 하나는 2단계 표본 선택 모형이다. 이 중 Heckman 2단계 표본 선택 모형은 주된 결과 모형 (outcome model)과 경제 활동 여부를 결정짓는 선택 모형 (selection model)을 포함한 모형으로써, 이 모형이 최대 우도 방법을 이용한 모형에 비해 이변수 오차의 정규분포 가정에 덜 민감하다고 알려져 있다. 그럼에도 불구하고 이변수 오차에 대한 정규 분포 가정은 꽤 강한 가정이라고 볼 수 있는데, 최근에 이 모형의 단점을 보완하는 모형으로 Marchenko와 Genton (2012)의Heckman 표본 선택 t 모형이 제시되었다. Heckman 2단계 모형과 Heckman 표본 선택 t 모형을 이용하여 국내 여성의 임금 결정 요인을 분석하고 비교하도록 한다.

End-to-end 비자기회귀식 가속 음성합성기 (End-to-end non-autoregressive fast text-to-speech)

  • 김위백;남호성
    • 말소리와 음성과학
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    • 제13권4호
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    • pp.47-53
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    • 2021
  • Autoregressive한 TTS 모델은 불안정성과 속도 저하라는 본질적인 문제를 안고 있다. 모델이 time step t의 데이터를 잘못 예측했을 때, 그 뒤의 데이터도 모두 잘못 예측하는 것이 불안정성 문제이다. 음성 출력 속도 저하 문제는 모델이 time step t의 데이터를 예측하려면 time step 1부터 t-1까지의 예측이 선행해야 한다는 조건에서 발생한다. 본 연구는 autoregression이 야기하는 문제의 대안으로 end-to-end non-autoregressive 가속 TTS 모델을 제안한다. 본 연구의 모델은 Tacotron 2 - WaveNet 모델과 근사한 MOS, 더 높은 안정성 및 출력 속도를 보였다. 본 연구는 제안한 모델을 토대로 non-autoregressive한 TTS 모델 개선에 시사점을 제공하고자 한다.

A Meta-Model for Development Process of IoT Application by Using UML

  • Cho, Eun-Sook;Song, Chee-Yang
    • 한국컴퓨터정보학회논문지
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    • 제24권1호
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    • pp.121-128
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    • 2019
  • An Internet of Things(IoT) technology which provides intelligent services by combining context-awareness based intelligences, inter-communication is made of between things and things or between things and person through the network connected with intelligent things is spreading rapidly. Especially as this technology is converged into smart device, mobile, cloud, big data technologies, it is applied into various domains. Therefore, this is different from existing Web or Mobile Application. New types of IoT applications are emerging by adapting IoT into Web or mobile. Because IoT application is not only focused on software but also considering hardware or things aspect, there are limitations existing development process. Existing development processes don't consider analysis and design techniques considering both hardware and things. We propose not only a meta-model for development process which can support IoT application's development but also meta-models for main activities in this paper. Especially we define modeling elements by using UML's extension mechanisms, provide development process, and suggest design techniques how to apply those elements into IoT application's modeling phase. Because there are many types of IoT application's type, we propose an Android and Arduino-based on IoT application as a case study. We expect that proposed technique can be applied into many of various IoT application development and design with a form of flexible and extensible as well as main functionalities or elements are more concretely described. As a result, it brings IoT application's flexibility and the effect of quality improvement.

Service Architecture Models For Fog Computing: A Remedy for Latency Issues in Data Access from Clouds

  • Khalid, Adnan;Shahbaz, Muhammad
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권5호
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    • pp.2310-2345
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    • 2017
  • With the emergence of the Internet of Things (IoT) the world is projecting towards a scenario where every object in the world (including humans) acts as a sender and receiver of data and if we were to see that concept mature we would soon be talking of billions more users of the cloud networks. The cloud technology is a very apt alternative to permanent storage when it comes to bulk storage and reporting. It has however shown weaknesses concerning real-time data accessibility and processing. The bandwidth availability of the cloud networks is limited and combined with the highly centralized storage structure and geographical vastness of the network in terms of distance from the end user the cloud just does not seem like a friendly environment for real-time IOT data. This paper aims at highlighting the importance of Flavio Bonomi's idea of Fog Computing which has been glamorized and marketed by Cisco but has not yet been given a proper service architecture that would explain how it would be used in terms of various service models i-e IaaS, PaaS and SaaS, of the Cloud. The main contribution of the paper would be models for IaaS, PaaS and SaaS for Fog environments. The paper would conclude by highlighting the importance of the presented models and giving a consolidated overview of how they would work. It would also calculate the respective latencies for fog and cloud to prove that our models would work. We have used CloudSim and iFogSim to show the effectiveness of the paradigm shift from traditional cloud architecture to our Fog architecture.