• Structural Engineering and Mechanics
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• v.46 no.6
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• pp.853-868
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• 2013

The comparison of the effectiveness of artificial neural network (ANN) and linear regression (LR) in the prediction of strain in tie section using experimental data from eight high-strength-self-compact-concrete (HSSCC) deep beams are presented here. Prior to the aforementioned, a suitable ANN architecture was identified. The format of the network architecture was ten input parameters, two hidden layers, and one output. The feed forward back propagation neural network of eleven and ten neurons in first and second TRAINLM training function was highly accurate and generated more precise tie strain diagrams compared to classical LR. The ANN's MSE values are 90 times smaller than the LR's. The correlation coefficient value from ANN is 0.9995 which is indicative of a high level of confidence.

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.5
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• pp.414-421
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• 2007

This paper presents a engine/brake integrated VDC(Vehicle Dynamic Control) system using neural network algorithm methods for wheel slip and yaw rate control. For stable performance of vehicle, not only is the lateral motion control(wheel slip control) important but the yaw motion control of the vehicle is crucial. The proposed NNPI(Neural Network Proportional-Integral) controller operates at throttle angle to improve the performance of wheel slip. Also, the suggested NNPID controller performs at brake system to improve steering performance. The proposed controller consists of multi-hidden layer neural network structure and PID control strategy for self-learning of gain scheduling. Computer Simulation have been performed to verify the proposed neural network based control scheme of 17 dof vehicle dynamic model which is implemented in MATLAB Simulink.

• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.184-191
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• 2009

Ideas regarding acting among new theater groups In the 1960s can be summarized in two major trends. The first trend was characterized with the pursuit of identity in a play. The second trend was characterized with the pursuit of creating a play that strongly and passionately explores internal human reality. In their pursuit of the goal of the second trend, they shockingly and strongly destroyed anything by rising in revolt against the existing spatial language. They believed that acting beyond acting as pursued by Stanislavski is not to implant a new type of human, but to develop the self hidden within the actor or to remove the actor's mask. Based on such recognition, the first thing that actors have to do is to remove or break free from the shell or skin that surrounds them. Accordingly, they sought a method that helped them act while taking off their shell or mask during acting and finally got the answer from "improvisation." One thing with improvisation is its way of stimulating the unconscious world of the actors in order to allow them to strongly express the hidden instinctive emotion from deep within them.

• Korean Medical Education Review
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• v.14 no.1
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• pp.11-18
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• 2012

The purpose of this article is to discuss the enhancement of medical professionalism and the artisan spirit proposed by Yu and to suggest curriculum content and methods to improve medical professionalism. Professionals are those who can share their knowledge with others and proceed under self-reflection on moral values and social expectations. The goal of medical education is to cultivate students to be good as well as to do well. To achieve this goal, educators should foster students to be good doctors for 99% of patients, rather than to be high performers for 1% of patients. There are two types of curriculum for medical professionalism: hidden and formative curricula. In these curricula, we doctors may be good role models for medical students. The curriculum contents and the methods for implementation that are based on accumulated experience can be embedded into education on professionalism. In addition, as suggested by Miller, how to evaluate medical professionalism based on a framework of clinical assessment must be discussed. Finally, it is suggested that the process of education on medical professionalism should be a kind of cultural movement to raise good doctors.

• Korean System Dynamics Review
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• v.14 no.3
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• pp.5-23
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• 2013

This paper explores a structural mechanism underlying governmental reformulation. Studying cases of governmental reorganizations occurred during past 60 years, this paper constructs a causal map containing a principle of small government, an integrative organization of the government, and a committee organization. A positive feedback loop linking these factors produces an increase in the number of the committee organization in the government. Also, this paper points out that there might be a hidden self fullfilling prophecy that reinforces the principle of small government. Open experiment toward a big government is proposed to overcome the vicious circle of small government curse.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.4
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• pp.883-889
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• 2005

Error backpropagation algorithm of multilayer perceptron may result in local-minima because of the insufficient nodes in the hidden layer, inadequate momentum set-up, and initial weights. In this paper, we proposed the ART-1 based fuzzy supervised learning algorithm which is composed of ART-1 and fuzzy single layer supervised learning algorithm. The Proposed fuzzy supervised learning algorithm using self-generation method applied not only ART-1 to creation of nodes from the input layer to the hidden layer, but also the winer-take-all method, modifying stored patterns according to specific patterns. to adjustment of weights. We have applied the proposed learning method to the problem of recognizing a resident registration number in resident cards. Our experimental result showed that the possibility of local-minima was decreased and the teaming speed and the paralysis were improved more than the conventional error backpropagation algorithm.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.657-659
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• 2023

최근 스마트폰과 같은 디지털 기기의 보급과 함께 개인화, 맞춤형 서비스의 수요가 늘어나면서 추천 서비스가 주목을 받고 있다. 세션 기반(Session based) 추천 시스템은 사용자의 아이템 선호에 따른 순서 정보를 고려한 학습 추천 모델로, 다양한 산업 분야에서 사용되고 있다. 세션 기반 추천 시스템 중 SASRec(Self-Attentive Sequential Recommendation) 모델은 MC/CNN/RNN 기반의 기존 여러 순차 모델들에 비하여 효율적인 성능을 보인다. 본 연구에서는 SASRec 모델의 하이퍼파라미터 중 배치 사이즈(Batch Size), 학습률 (Learning Rate), 히든 유닛(Hidden Unit)을 조정하여 실험함으로써 하이퍼파라미터에 의한 성능 변화를 분석하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04a
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• pp.766-768
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• 2001

정보통신의 질적 양적 팽창과 더불어 컴퓨터 시스템에 대한 침입 또한 증가하고 있다. 침입탐지시스템은 이를 해결하기 위한 대표적인 수단으로, 최근 관련된 연구의 방향이 오용탐지 기법에서 비정상 행위탐지 기법으로 옮겨가고 있는 상황이다. HMM(Hiddem Markov Model)은 비정상행위탐지 기법에 사용되어 다양한 척도(measure)에 대한 정상행위를 효과적으로 모델링할 수 있는 방법이다. 다양한 척도의 결과값들로부터 침입을 판정하는 방법에 대한 연구는 미흡하다. 본 논문에서는 SOM(self organizing map)을 통해 축약된 데이터를 HMM으로 모델링한 비정상행위기반 침입탐지 시스템의 성능을 향상시키기 위해 퍼지 침입판정 방법을 제시한다. 실험결과 척도에 따른 결과들의 기계적 결합보다 향상된 결과를 얻었으며, 퍼지 관련 파라메터의 개선을 통해 더욱 좋은 효과를 기대할 수 있었다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.12
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• pp.5469-5476
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• 2011

The purpose of this study was to analyze relating with Faucult's disciplinary power which factors influence a dancer's self-management (weight control)Total 10 ballet major undergraduate students of two respective universities in Seoul and Daijon were selected for the research and the chosen method was an interview with them. After the researchers analyzed the interview result, they found out the following several significant results. The first reason that major ballet dancers control their weight is to show their beautiful figures on the stage and to make their appearances look slender in the mirror. Dancers adapt various methods for effective weight management (diet control) such as dietary control, 1 food intake (potatoes, bananas, grapes, etc), physical force to advise or ingest (injection, taking medicines, reflexology, vomiting, etc.) Then, what is the hidden vision that makes such a practice of weight control maintain? The study presents a "mirror" as a tool of control playing a significant role, in terms that the power of discipline functions automatically in a dancer's body. In addition, another constant factor of dancers' weight management is monitoring each other's performance continuously, which is called "synopticon" Symptoms. Lastly, the fact that a question about placing a ruler could function in the continuous practice was also revealed.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.3
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• pp.55-65
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• 2004

When a neural network is used to solve a given problem it is necessary to match the complexity of the network to that of the problem because the complexity of the network significantly affects its learning capability and generalization performance. Thus, it is desirable to have an algorithm that can find appropriate network structures in a self-organizing way. This paper proposes algorithms which automatically organize feed forward multi-layer neural networks with sigmoid hidden neurons for given problems. Using both constructive procedures and pruning procedures, the proposed algorithms try to find the near optimal network, which is compact and shows good generalization performance. The performances of the proposed algorithms are tested on four function regression problems. The results demonstrate that our algorithms successfully generate near-optimal networks in comparison with the previous method and the neural networks of fixed topology.