• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.671-672
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• 2008

K-means is a popular one in clustering algorithms, and it minimizes the mutual euclidean distance among the sample points. But K-means has some demerits, such as depending on initial condition, unsupervised learning and local optimum. However mahalanobis distancecan deal this case well. In this paper, the author proposed a new clustering algorithm, named exponential probability clustering, which applied Mahalanobis distance into K-means clustering. This new clustering does possess not only the probability interpretation, but also clustering merits. Finally, the simulation results also demonstrate its good performance compared to K-means algorithm.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 하계종합학술대회 논문집(3)
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• pp.99-102
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• 2002

K-means clustering algorithm is a very popular clustering technique, which is used in the field of information retrieval. In this paper, We deal with the problem of K-means Algorithm from the view of creating the centroids and suggest a method reflecting document feature and considering the context of each document to determine the new centroids during the process of forming new centroids. For experiment, We used the automatic document summarizer to summarize the Reuter21578 newslire test dataset and achieved 20% improved results to the recall metrics.

• 영어어문교육
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• 제8권2호
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• pp.91-104
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• 2003

The purpose of this paper is to show that when we consider the analytical ways of Dissimilation, it becomes clear that it is insufficient to deal with it in just linear and nonlinear ways. Thus within a new framework to be introduced in this paper, Harmonic Phonology, we will reanalyze the phenomenon. We will also consider how the Obligatory Contour Principle (hereinafter, OCP) is used as both rule trigger and rule blocker in rule application, and works as a universal constraint, that is, a filtering device of ill formed representation. As we also consider it under the new framework, we can show the application position and motivation of rules appropriately and represent the phenomenon synthetically. (Yosu National University)

• Journal of the Korean Statistical Society
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• 제19권1호
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• pp.80-87
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• 1990

In reliability and life testing the mean residual life (MRL) of an item plays a significant role. While there has been a great deal of discussion on the theoretical aspects of the MRL, good estimators of MRL have been difficult to obtain. In this paper we propose a new estimator of the MRL of items at a given age, which is especially good for a small sample. The new estimator compares favorably with the empirical MRL estimator for small samples.

• 한국수학교육학회지시리즈A:수학교육
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• 제39권1호
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• pp.1-9
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• 2000

Now, mathematics textbook is being developed in accordance with the 7th educational curriculum. It is expected that qualified textbook reflecting 'differentiated education' concept be developed and published. But there are still many limitations of textbook authorization system to develop 'such' textbook. Many authors of textbook have difficulty in developing creative and qualified textbooks in their own way. In this paper, we deal with what the authors should keep in mind and could reflect related on textbook authorization system in developing textbook. For this purpose, focusing on new 'content principle' of mathematics textbook authorization, the paper presented its educational background.

• 융합신호처리학회 학술대회논문집
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• 한국신호처리시스템학회 2000년도 하계종합학술대회논문집
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• pp.129-132
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• 2000

We propose a new method to deal with the optimized auto-tuning for the PID controller which is used to the process -control in various fields. First of all, in this method, initial values of DC motor are determined by the Ziegler-Nichols method. Finally, after studying the parameters of PID controller by input vector of multiple regression analysis, when we give new K, L, T values to multiple regression model, the optimized parameters of PID controller is found by multiple regression analysis program.

• Smart Structures and Systems
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• 제16권2호
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• pp.329-345
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• 2015

As commonly known, sensor errors and faulty signals may potentially lead structures in vibration to catastrophic failures. This paper presents a new approach to deal with sensor errors/faults in vibration control of structures by using the Fault detection and isolation (FDI) technique. To demonstrate the effectiveness of the approach, a space truss structure with semi-active devices such as Magneto-Rheological (MR) damper is used as an example. To address the problem, a Linear Matrix Inequality (LMI) based fixed-order $H_{\infty}$ FDI filter is introduced and designed. Modeling errors are treated as uncertainties in the FDI filter design to verify the robustness of the proposed FDI filter. Furthermore, an innovative Fuzzy Fault Tolerant Controller (FFTC) has been developed for this space truss structure model to preserve the pre-specified performance in the presence of sensor errors or faults. Simulation results have demonstrated that the proposed FDI filter is capable of detecting and isolating sensor errors/faults and actuator faults e.g., accelerometers and MR dampers, and the proposed FFTC can maintain the structural vibration suppression in faulty conditions.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2002년도 춘계학술대회논문집
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• pp.802-807
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• 2002

The updating of FE model to match it with the experimental results needs the modal information. There are two cases where this methodology is ill-equip to deal with； under-determined and ill-conditioning problem. The feedback exciter that uses the summation of the white noise and the signals from the measurement sensors multiplied with feedback gains can deal with these problems as the new modal data from the closed loop system generate more constraints the updating parameters should obey. The new modal data from the closed loop system should be different to enhance the condition of the modal sensitivity matrix. In this research, a guide for the selection of the sensor locations and the decision of the corresponding output feedback gains is proposed. This method is based on the sensitivity of the modal data with respect to the feedback gains. Through the proper selection of the exciter and sensor locations and the feedback gain, the eigenvalue sensitivity of the updating parameters which cause the ill-conditioning of the modal sensitivity matrix can be modified and consequently the error contamination in updating parameters are reduced.

• 한국문헌정보학회지
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• 제31권2호
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• pp.79-93
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• 1997

동일 분류항목 내에 분류되는 저작들을 개별화하여 배열과 검색을 용이하게 하기 위해 사용되는 도서기호는 크게 입수순기호, 저자기호, 그리고 연대순기호로 나누어 볼 수 있다. 현대의 매우 빠른 학문 발전속도는 최신의 정보가 최상의 가치를 갖도록 만들었고, 이용자들의 이용행태 또한 최신의 자료에 집중되고 있다. 이러한 정보의 가치기준과 이용행태의 변화에 따라 도서관에서는 최신의 자료를 오래된 것과 구분하여 모아줄 필요가 발생하였다. 본고에서는 이러한 요구를 반영하여 고안된 「새 연대순 도서기호법」이 널리 채용되게 하고자 하는 목적으로 그 특징과 기호구성을 살펴보았고, 일부 자모순 도서기호를 적용토록 지시된 항목의 성격에 대해 규명하였다.

• Earthquakes and Structures
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• 제18권6호
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• pp.719-730
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• 2020

Recently, population based optimization algorithms are developed to deal with a variety of optimization problems. In this paper, the salp swarm algorithm (SSA) is dramatically enhanced and a new algorithm is named Enhanced Salp Swarm Algorithm (ESSA) which is effectively utilized in optimization problems. To generate the ESSA, an opposition-based learning and merit function methods are added to standard SSA to enhance both exploration and exploitation abilities. To have a clear judgment about the performance of the ESSA, firstly, it is employed to solve some mathematical benchmark test functions. Next, it is exploited to deal with engineering problems such as optimally designing the benchmark buildings equipped with multiple tuned mass damper (MTMD) under earthquake excitation. By comparing the obtained results with those obtained from other algorithms, it can be concluded that the proposed new ESSA algorithm not only provides very competitive results, but also it can be successfully applied to the optimal design of the MTMD.