• Title/Summary/Keyword: 다변수 시스템

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Effects of Feedback Types on Users' Subjective Responses in a Voice User Interface (음성 사용자 인터페이스 내 피드백 유형이 사용자의 주관적 반응에 미치는)

  • Lee, Dasom;Lee, Sangwon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.219-222
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    • 2017
  • This study aimed to demonstrate the effect of feedback type on users' subjective responses in a voice user interface. Feedback type is classified depend on information characteristic it involves; verification feedback and elaboration feedback. Error type is categorized as recognition error and performance error. Users' subjective assessment about system, feedback acceptance, and intention to use were measured as dependent variables. The results of experiment showed that feedback type has impacts on the subjective assessment(likeability, habitability, system response accuracy) of VUI, feedback acceptance, and intention to use. the results also demonstrated an interaction effect of feedback type and error type on the feedback acceptance. It leads to the conclusion that VUI should be designed with the elaboration feedback about error situation.

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Two-dimensional Inundation Analysis Using Stochastic Rainfall Variation and Geographic Information System (추계학적 강우변동생성 기법과 GIS를 연계한 2차원 침수해석)

  • Lee, Jin-Young;Cho, Wan-Hee;Han, Kun-Yeun;Ahn, Ki-Hong
    • Journal of the Korean Association of Geographic Information Studies
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    • v.13 no.1
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    • pp.101-113
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    • 2010
  • Recently actual rainfall pattern is decreasing rainy days and increasing in rainfall intensity and the frequency of flood occurrence is also increased. To consider recent situation, Engineers use deterministic methods like a PMP(Probable Maximum Precipitation). If design storm wouldn't occur, increasing of design criteria is extravagant. In addition, the biggest structure cause trouble with residents and environmental problem. And then it is necessary to study considering probability of rainfall parameter in each sub-basin for design of water structure. In this study, stochastic rainfall patterns are generated by using log-ratio method, Johnson system and multivariate Monte Carlo simulation. Using the stochastic rainfall patterns, hydrological analysis, hydraulic analysis and 2nd flooding analysis were performed based on GIS for their applicability. The results of simulations are similar to the actual damage area so the methodology of this study should be used about making a flood risk map or regidental shunting rout map against the region.

Design of Continuous-Time System Using Bilinear Transformation (쌍선형 변환에 의한 연속 시간계의 설계)

  • Kim, Sang-Bong;An, Hwi-Ung
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.25 no.3
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    • pp.137-142
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    • 1989
  • A pole assignment problem in a specified region is solved using a bilinear transformation method. It is well known that the problem designing discrete-time system or vice versa is called redesign problem, But there is not so much study that is cyclic type of design, i.e. from continuous system to discrete system and from the latter to the former system. In this paper, the cyclic type of design for the continuous-time system is proposed using the bilinear transformation. In the view of a pole assignment method with poles in a specified region, it will be possible to design a regulator or a servo system considering damping ratio, stability degree and band with which are resulted to the characteristics of the closed-loop system.

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Assessment of Applicability and Goodness-of-Fit test of Gumbel Copula for Extreme Rainfall Events of South Korea (국내 극치 강우사상에 대한 Gumbel copula 모형의 적합도 검정 및 적용성 검토)

  • Joo, Kyungwon;Jung, Younghun;Seo, Miru;Heo, Jun-Haeng
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.279-279
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    • 2020
  • 최근 copula 모형은 여러 확률변수를 갖는 수문현상에 대해 빈도해석을 수행할 경우 결합확률분포형으로 유용하게 사용되고 있다. 하나의 자료를 확률변수로 사용하는 단변량 빈도해석에 비해 여러 수문자료를 동시에 각각 확률변수로 취하여 결합확률분포형을 추정할 수 있는 다변량 빈도해석은 수문자료의 상관성을 고려하면서 확률분포형을 추정할 수 있다는 장점이 있다. Copula 모형 중 Gumbel copula는 extreme-value 확률분포형으로 극치사상에 적합한 확률분포형이다. 본 연구에서는 Gumbel copula를 이용하여 우리나라 기상청 64개 종관기상관측소의 강우자료로부터 극치 강우사상을 추출하고, 이를 이용하여 빈도해석을 수행하였다. 극치 강우사상은 전체 강우사상 중 각 년도별로 최대강우량을 갖는 연최대강우량사상(annual maximum volume event)을 사용하였다. 각 확률변수의 주변분포형으로는 gamma, Gumbel, generalized extreme value, generalized logistic, Weibull 등 5개 확률분포형을 검토하였으며 각각 적합한 주변분포형을 적용하고 copula 모형의 매개변수는 의사최우도법(maximum pseudo-likelihood method)를 사용하여 추정하였다. 또한 추정된 copula 모형은 Cramer-von Mises 함수와 경험적 copula를 이용하여 적합도 검정을 수행하였다. 이를 통해 극치강우사상에 대하여 Gumbel copula 모형의 적용성을 검토하였으며 추정된 결합확률분포형을 이용하여 빈도별 확률강우사상을 2차원 등치선(contour line)형태로 제시하였다.

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Fault Detection & SPC of Batch Process using Multi-way Regression Method (다축-다변량회귀분석 기법을 이용한 회분식 공정의 이상감지 및 통계적 제어 방법)

  • Woo, Kyoung Sup;Lee, Chang Jun;Han, Kyoung Hoon;Ko, Jae Wook;Yoon, En Sup
    • Korean Chemical Engineering Research
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    • v.45 no.1
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    • pp.32-38
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    • 2007
  • A batch Process has a multi-way data structure that consists of batch-time-variable axis, so the statistical modeling of a batch process is a difficult and challenging issue to the process engineers. In this study, We applied a statistical process control technique to the general batch process data, and implemented a fault-detection and Statistical process control system that was able to detect, identify and diagnose the fault. Semiconductor etch process and semi-batch styrene-butadiene rubber process data are used to case study. Before the modeling, we pre-processed the data using the multi-way unfolding technique to decompose the data structure. Multivariate regression techniques like support vector regression and partial least squares were used to identify the relation between the process variables and process condition. Finally, we constructed the root mean squared error chart and variable contribution chart to diagnose the faults.

Linear Model Predictive Control of an Entrained-flow Gasifier for an IGCC Power Plant (석탄 가스화 복합 발전 플랜트의 분류층 가스화기 제어를 위한 선형 모델 예측 제어 기법)

  • Lee, Hyojin;Lee, Jay H.
    • Korean Chemical Engineering Research
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    • v.52 no.5
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    • pp.592-602
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    • 2014
  • In the Integrated Gasification Combined Cycle (IGCC), the stability of the gasifier has strong influences on the rest of the plant as it supplies the feed to the rest of the power generation system. In order to ensure a safe and stable operation of the entrained-flow gasifier and for protection of the gasifier wall from the high internal temperature, the solid slag layer thickness should be regulated tightly but its control is hampered by the lack of on-line measurement for it. In this study, a previously published dynamic simulation model of a Shell-type gasifier is reproduced and two different linear model predictive control strategies are simulated and compared for multivariable control of the entrained-flow gasifier. The first approach is to control a measured secondary variable as a surrogate to the unmeasured slag thickness. The control results of this approach depended strongly on the unmeasured disturbance type. In other words, the slag thickness could not be controlled tightly for a certain type of unmeasured disturbance. The second approach is to estimate the unmeasured slag thickness through the Kalman filter and to use the estimate to predict and control the slag thickness directly. Using the second approach, the slag thickness could be controlled well regardless of the type of unmeasured disturbances.

Analysis of Regional Environment in the Nak-Dong River Watershed using Geographic Information System (지리정보시스템을 이용한 낙동강 유역권의 광역환경분석)

  • Jung, Sung-Kwan;Park, Kyung-Hun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.3 no.1
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    • pp.12-22
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    • 2000
  • Recently urbanization and industrialization around the Nak-dong river watershed have lead to the regional environmental problems. In this viewpoint, we took up variables which were related to watershed environment, and found out spatial and environmental properties of the Nak-dong river using factor analysis, ANOVA test and geographic information system. The results may be summarized as follows; three common factors which were named as urban, agricultural and industrial pollutant factor extracted from statistical methods. Spatial distribution of watershed environment could be found by connection attributes of factor scores derived from factor analysis to digital map using GIS. According to the results, distribution of pollutant sources were concentrated in the main stream of the Nak-dong river and its tributaries, Kum-ho river. So it is necessary to manage the watershed environment in due consideration of environmental carrying capacity.

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Digital Logic Circuit Instruction Design Based on the Establishment of Future Educational Environment Using Tinkercad (미래교육환경 구축 기반의 Tinkercad를 활용한 디지털 논리회로 수업 설계)

  • Ho-Jin Kim;Heon-Woo Lee;Hyuk-Soo Lee
    • Journal of Practical Engineering Education
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    • v.16 no.4
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    • pp.481-489
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    • 2024
  • The purpose of this study is to propose a new teaching method of the digital logic circuit so that students can cultivate digital literacy in diversifying future educational environments. In this paper, we analyzed the previous studies related to teaching methods for Tinkercad and digital logic circuits and suggested how to apply Tinkercad to the specific instruction design of the digital logic circuit. In addition, after showing the class design using Tinkercad to the actual lessons, It turns out two significant facts in a survey: to create a circuit that can implement the operation of the basic gate and to make it easier to understand the principles of the basic gate. The teaching method suggested in this study can be informative for students to acquire basic knowledge of electricity and electronics. Since Tinkercad is an open software based on cloud systems that are used not only in Korea but also foreign countries, it can be utilized in the lessons of digital logic circuits in the near future.

A Study on HSTPA Model for Improvement of Emergency Response Training for Ships (선박의 비상대응훈련 개선을 위한 HSTPA 모델에 관한 연구)

  • Han, Ki-Young;Jung, Jin-ki;Ahn, Young-Joong
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.25 no.4
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    • pp.441-447
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    • 2019
  • Since emergency response training for maritime safety and safety education of maritime education institutions are conducted based on the set scenarios and education contents, there are limitations in the reduction of human error and response to various situations. Although there is a need for improvement, there is no way to improve response capabilities by assessing existing education training and securing diversity in situations. This study proposes a theoretical procedure analyzer method to model the diversity of situations for the improvement of emergency response training. This paper defines the human and system theoretical procedure analysis model (HSTPA) based on the organic relationship of the source and system. The limitations of the existing training were derived by analyzing the errors that each component could produce and applying them to the fire response training scenarios requiring vertical reporting systems and responses. The segmentation and inspection of training scenario considerations applying the proposed HSTPA model is believed to help create diverse and realistic scenarios in emergency response training and education, and improve the situation judgment understanding and response capabilities of the subjects.

Analysis of Factors for Korean Women's Cancer Screening through Hadoop-Based Public Medical Information Big Data Analysis (Hadoop기반의 공개의료정보 빅 데이터 분석을 통한 한국여성암 검진 요인분석 서비스)

  • Park, Min-hee;Cho, Young-bok;Kim, So Young;Park, Jong-bae;Park, Jong-hyock
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.10
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    • pp.1277-1286
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    • 2018
  • In this paper, we provide flexible scalability of computing resources in cloud environment and Apache Hadoop based cloud environment for analysis of public medical information big data. In fact, it includes the ability to quickly and flexibly extend storage, memory, and other resources in a situation where log data accumulates or grows over time. In addition, when real-time analysis of accumulated unstructured log data is required, the system adopts Hadoop-based analysis module to overcome the processing limit of existing analysis tools. Therefore, it provides a function to perform parallel distributed processing of a large amount of log data quickly and reliably. Perform frequency analysis and chi-square test for big data analysis. In addition, multivariate logistic regression analysis of significance level 0.05 and multivariate logistic regression analysis of meaningful variables (p<0.05) were performed. Multivariate logistic regression analysis was performed for each model 3.