• Communications for Statistical Applications and Methods
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• 제10권1호
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• pp.233-237
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• 2003

An asymptotic property of the ordinary least squares estimator of the disturbance variance is considered in the regression model with correlated errors. It is shown that the convergence in probability of S$^2$ is equivalent to the asymptotic unbiasedness. Beyond the assumption on the design matrix or the variance-covariance matrix of disturbances error, the result is quite general and simplify the earlier results.

• 한국융합학회논문지
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• 제8권3호
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• pp.199-204
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• 2017

최근, 자동차 전조등에 할로겐 램프가 아닌 LED 전조등을 사용하고 있는 추세이다. 이 LED 전조등 내부에는 방열판이 존재한다. 방열판은 LED 수명에 지대한 역할을 하는 중요한 부품이다. 방열판은 매개물로부터 나온 열을 흡수하여 다이오드의 오버히트를 방지하는 장치이다. 본 연구에서는 LED 전조등 방열판의 형상에 따른 열전달과 열응력에 대하여 알아보았다. 본 연구 결과로서, Model 1이 Model 2에 비해 열이 더 많이 내려가고 내구성면에서도 좋은 값이 나와 내구성이 더 있었다. 이러한 기반데이터로 방열판 형상에 융합기술 적용하여 자동차 전조등에 그 미적 감각을 나타낼 수 있다.

• 농업과학연구
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• 제47권1호
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• pp.95-104
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• 2020

The Ministry of Agriculture, Food, and Rural Affairs is currently pushing forward policies targeting the Rural Convergence Industry initiative to incubate the front-runners of the '6th industry', to increase off-farm income, to create rural jobs for elderly, and to create women-based farms. As a result, in 2017, a total of 11,604 Rural Convergence Industries were in business, and the goods produced from those industries were diverse. However, the quality and safety of those products are not being checked and managed thoroughly, which has caused consumers to not trust products made from the Rural Convergence Industries. Through a survey and the ordering logit model, this study analyzed consumer perception of the safety and quality of goods from the Rural Convergence Industries. The analysis revealed that we must first raise awareness of the importance of rural agriculture areas and the products of the Rural Convergence Industries to uplift consumer perceptions regarding the products produced by the industries. The analysis also revealed that diverse points of distribution (sellers), education on the importance of rural and urban areas, and marketing Rural Convergence Industry products within suburban consumer populations are necessary to increase the consumption of these products.

• 문화기술의 융합
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• 제9권4호
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• pp.1-11
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• 2023

본 연구의 목적은 창의⸱융합형 인재 양성을 위하여 토의중심 교수학습 모형을 개발하는 데 있다. 연구 방법은 토의중심 교수학습 모형 초안을 구안하고 전문가의 타당성 검증을 통해 모형을 최종 완성하였다. 도출된 최종안으로 수업 적용 타당성을 검증하여 최종안을 수정 보완하였다. 토의중심 교수학습 모형 초안과 비교해 볼 때 최종 모형은 직소 토의를 제외하고 텍스트 읽기 강조, 질문 방법, 질문생성 전략에 중점을 둔 모형이 개발되었다. 본 연구에서 개발된 토의중심 교수학습 모형은 창의⸱융합형 인재 양성을 위한 교수자에게 도움을 줄 것으로 기대한다. 토의중심 교수학습 모형을 현장에 효과적으로 적용하기 위한 제언으로 첫째, 토의 시 경청과 존중의 자세가 필요하며, 둘째, 토의에 참여하는 학습자들의 능동적인 참여를 어떻게 끌어낼 것인가? 방안을 생각해야 하며, 셋째, 토의 시간 관리의 중요성을 강조하였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집(한일합동학술편); 한국과학기술대학, 충남; 16-17 Oct. 1987
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• pp.721-723
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• 1987

An Adaptation algorithm is presented and a convergence criterion is derived for parallel model reference adaptive bilinear systems. The output error converges asymptotically to zero, and the parameter estimates are bounded for stable reference models. The convergence criterion depends only upon the input sequence and a priori estimates of the maximum parameter values.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.169.3-169
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• 2001

This paper introduces a new approach to analysis of error convergence for a class of iterative learning control systems. First, a nonlinear plant is represented using a Takagi-Sugeno(T-S) fuzzy model. Then each iterative learning controller is designed for each linear plant in the T-S fuzzy model. From the view point of two-dimensional(2-D) system theory, we transform the proposed learning systems to a 2-D error equation, which is also established in the form of T-S fuzzy model. We analysis the error convergence in the sense of induced 2 L -norm, where the effects of disturbances and initial conditions on 2-D error are considered. The iterative learning controller design problem to guarantee the error convergence can be reduced to linear matrix inequality problems. In comparison with others, our learning algorithm ...

• Transactions on Control, Automation and Systems Engineering
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• 제1권1호
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• pp.69-74
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• 1999

Adaptive algorithms based on gradient adaptation have been extensively investigated and successfully joined with active noise/vibration control applications. The Filtered-X LMS algorithm became one of the basic feedforward algorithms in such applications, but is not fully understood yet. Effects of cancellation path model on the Filtered-X LMS algorithm have investigated and some useful properties related to stability were discovered. Most of the results stated that the error in the cancellation path model is undesirable to the Filtered X LMS. However, we started convergence analysis of Filtered-X LMS based on the assumption that erroneous model does not always degrade its performance. In this paper, we present a way of optimizing the cancellation path modern in order to enhance the convergence speed by introducing intentional phase error. Carefully designed intentional phase error enhances the convergence speed of the Filtered X LMS algorithm for pure tone noise suppression application without any performance loss at steady state.

• ETRI Journal
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• 제32권4호
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• pp.634-637
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• 2010

This letter presents a model for a dynamic collaboration (DC) platform among cloud providers (CPs) that prevents adverse business impacts, cloud vendor lock-in and violation of service level agreements with consumers, and also offers collaborative cloud services to consumers. We consider two major challenges. The first challenge is to find an appropriate market model in order to enable the DC platform. The second is to select suitable collaborative partners to provide services. We propose a novel combinatorial auction-based cloud market model that enables a DC platform among CPs. We also propose a new promising multi-objective optimization model to quantitatively evaluate the partners. Simulation experiments were conducted to verify both of the proposed models.

• International journal of advanced smart convergence
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• 제9권4호
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• pp.115-119
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• 2020

Recently, CCTV installations are rapidly increasing in the public and private sectors to prevent various crimes. In accordance with the increasing number of CCTVs, video-based abnormal behavior detection in control systems is one of the key technologies for safety. This is because it is difficult for the surveillance personnel who control multiple CCTVs to manually monitor all abnormal behaviors in the video. In order to solve this problem, research to recognize abnormal behavior using deep learning is being actively conducted. In this paper, we propose a model for detecting abnormal behavior based on the deep learning model that is currently widely used. Based on the abnormal behavior video data provided by AI Hub, we performed a comparative experiment to detect anomalous behavior through violence learning and fainting in videos using 2D CNN-LSTM, 3D CNN, and I3D models. We hope that the experimental results of this abnormal behavior learning model will be helpful in developing intelligent CCTV.

• International journal of advanced smart convergence
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• 제10권2호
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• pp.53-58
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• 2021

In this paper, based on the real estate registration model in the Chinese internet environment, we propose a model for the joint business of banking collateral registration. This is to increase the efficiency and service level of the real estate mortgage registration process. And it can solve the problems that in the process of registering a mortgage loan, difficulty of data sharing between the real estate registration agency and the bank, and ordinary users and bank clerks duplicate unnecessary work. In addition, it realizes joint processing and data sharing of real estate registration work with real estate registration agencies and banks, increases the efficiency and level of government affairs services, and offers an optimized solution to realize a one-stop service for real estate security registration. The results of this study are expected to provide theoretical support for the application and innovation of the Internet environment real estate registration model.