• 대한전기학회논문지:전력기술부문A
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• 제49권7호
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• pp.339-344
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• 2000

This paper presents an improved optimal power flow algorithm, which solves an optimization problem with equality constraints with converted inequality constraints. The standard OPF and the penalty function method should do reconstructing active constraints among the inequality constraints so that the activation of the inequality constraints has been imposing an additional burden to solve OPF problem efficiently. However the proposed algorithm converts active inequality constraints into the equality constraints in order to preclude us from reconstructing the procedures. The effectiveness of the new OPF algorithm is validated by applying the IEEE 14 bus system.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제18권4호
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• pp.317-335
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• 2014

In this work, we investigate the global stability analysis of a viral infection model with antibody immune response. The incidence rate is given by a general function of the populations of the uninfected target cells, infected cells and free viruses. The model has been incorporated with two types of intracellular distributed time delays to describe the time required for viral contacting an uninfected cell and releasing new infectious viruses. We have established a set of conditions on the general incidence rate function and determined two threshold parameters $R_0$ (the basic infection reproduction number) and $R_1$ (the antibody immune response activation number) which are sufficient to determine the global dynamics of the model. The global asymptotic stability of the equilibria of the model has been proven by using Lyapunov theory and applying LaSalle's invariance principle.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2011년도 한국컴퓨터종합학술대회논문집 Vol.38 No.1(C)
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• pp.393-396
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• 2011

In this paper, we propose a constrained alternating least squares nonnegative matrix factorization algorithm (cALSNMF) to detect active brain regions from single subject's task-related fMRI data. In cALSNMF, we define a new cost function which considers the uncorrelation and noisy problems of fMRI data by adding decorrelation and smoothing constraints in original Euclidean distance cost function. We also generate a novel training procedure by modifying the update rules and combining with optimal brain surgeon (OBS) algorithm. The experimental results on visuomotor task fMRI data show that our cALSNMF fits fMRI data better than original ALSNMF in detecting task-related brain activation from single subject's fMRI data.

• 전자공학회논문지B
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• 제28B권12호
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• pp.27-37
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• 1991

In this paper, the novel PLD (Preceding Layer Driven) MLP (Multi Layer Perceptron) neural network model and its learning algorithm is described. This learning algorithm is different from the conventional. This integer weights and hard limit function are used for synaptic weight values and activation function, respectively. The entire learning process is performed by layer-by-layer method. the number of layers can be varied with difficulty of training data. Since the synaptic weight values are integers, the synapse circuit can be easily implemented with CMOS. PLD MLP neural network was applied to English Characters, arbitrary waveform generation and spiral problem.

• 한국지능시스템학회논문지
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• 제15권1호
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• pp.87-91
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• 2005

Fahlman과 Lebiere의 캐스케이드-상관 (CC) 학습 알고리즘은 신경망의 구성 알고리즘에서 가장 널리 사용되는 것 중의 하나이며, 망에서 은닉 뉴런을 캐스케이드 형태로 취함으로서 매우 강력한 비선형을 표현할 수 있다. 비록 이 멱승이 유용할지 몰라도 대체로 문제를 푸는데는 강력한 비선형성이 요구되지 않으며 단점이 될 수도 있다. CC 알고리즘의 캐스케이드 구조 및 출력 뉴런의 가중치 훈련에 대한 변형된 형태인 3개 모델이 제안되고 경험적으로 비교되었다. 실험결과 다음과 같은 결론을 얻었다: (1) 패턴분류에 있어서, 새로 추가되는 은닉 뉴런과 출력층간 연결강도만 훈련시키는 모델이 가장 좋은 예측력을 나타내었다; (2) 함수근사 문제에 있어서는 입력-출력 연결강도를 제거하고 시그모이드-선형 작동함수를 사용하는 모델이 CasCor 알고리즘보다 좋은 결과를 나타내었다.

• 한국정보통신학회논문지
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• 제11권7호
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• pp.1387-1393
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• 2007

기존의 단층 퍼셉트론은 출력 노드가 선형 분리 가능한 패턴들만을 분류할 수 있고 XOR과 같은 비선형 문제에 대해서는 분류할 수 없는 단점이 있다. 퍼지 단층 퍼셉트론은 퍼지 소속 함수(Fuzzy Membership Function)를 적용하여 단층 구조로 XOR 문제와 같은 고전적인 문제를 개선하였다. 그러나 퍼지 단층 퍼셉트론은 기존의 단층 퍼셉트론과 마찬가지로 결정 경계선이 진동하는 경우가 생기며 초기 가중치의 범위와 학습률에 따라 수렴성이 매우 낮아지는 단점이 있다. 따라서 본 논문에서는 바이어스항을 도입하여 결정 경계선이 진동하는 것을 방지하여 수렴성을 개선시키고 선형 활성화 함수를 제안하고 학습률과 모멘텀 개념을 도입 한 개선된 델타규칙을 적용함으로써 학습 시간을 단축시키는 개선된 퍼지 단층 퍼셉트론 알고리즘을 제안한다. 제안된 방법과 퍼지 단층 퍼셉트론간의 학습 성능을 분석하기 위하여 인공 신경망에서 벤치마크로 사용되는 XOR 문제와 패턴 분류에 적용하여 Epoch 수와 수렴성을 비교한 결과, 제안된 방법이 기존의 퍼지 단층 퍼셉트론보다 학습 시간이 적게 소요되고 수렴성이 개선된 것을 확인하였다.

• 조명전기설비학회논문지
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• 제26권4호
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• pp.1-5
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• 2012

By using LED optical devices and improving the efficiency of optical devices as well as lighting apparatus for humans, LED lighting industry puts the purpose of manufacturing the main products related with information, electric, large-sized LCD BLU, automobile, shipbuilding, agriculture, medical treatment, environment, and telecommunications, etc. Moreover, the main products and the industrial lighting products are manufactured with fusion, as the result, LED lighting industry provides various effects as well as sources of technology based on practical use of LED technology in order to develop the industry from the perspective of the lower price, the higher efficiency, the higher function, the deeper reliance. In the future, not only the development of new LED technology but also the fusion and combination of digital IT technologies using wire-wireless communication, sensor, controller, and artificial intelligence will be expected to create new industrial fields.

• Tribology and Lubricants
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• 제4권1호
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• pp.43-55
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• 1988

A Study on the effect of the additives in lubricating oil was investigated on the basis of the thermal activated wear theory in terms of their wear behaviours, using four ballwear machine. The sample oils, which included diethyl-3, 5-di-t-butyi-4-hydroxy-benzyl phosphonate (DEP), ZDDP and TCP additives respectively, showed distinct wear characteristics depending upon the bulk oil temperature and the sliding velocity. The newly synthesized additive, viz., DEP showed excellent antiwear performance cornpared with the conventional additives, ZDDP and TCP. On the basis of the experimental results, it is reduced that the wear mechanism of the conventional additives, viz., ZDDP and TCP is the protective film formation and their antiwear capability is depending upon the shearing strength of the film formed. On the other hand, the new additive, DEP showed that the secondary activation energy was much eliminated and so, the thermal instability was reduced by the hydrogen scavenging reaction of the new additive, which was virtually an endothermic reaction process.In conclusion, a new concept of antiwear mechanism is estabilished and testified. And new chemical, which showed the function of hydrogen and free radical scavenging role, is synthesized and introduced as the new, highly antiwear effective lubricating oil additive.

• Interdisciplinary Bio Central
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• 제3권1호
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• pp.5.1-5.5
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• 2011

Introduction: Many signal transduction pathways mediate cell's behavior by regulating expression level of involved genes. Abnormal behavior indicates loss of regulatory potential of pathways, and this can be attributed to loss of expression regulation of downstream genes. Therefore, function of pathways should be assessed by activity of a pathway itself and relative activity between a pathway and downstream genes, simultaneously. Results and Discussion: In this study, we suggested a new method to assess pathway's function by introducing concept of 'responsiveness'. The responsiveness was defined as a relative activity between a pathway itself and its downstream genes. The expression level of a downstream gene as a function of an upstream pathway activation characterizes disease status. In this aspect, by using the responsiveness we predicted potential progress in cancer development. We applied our method to predict primary and metastatic status of melanoma cancer. The result shows that the responsiveness-based approach achieves better performance than using gene or pathway information alone. The mean of ROC scores in the responsiveness-based approach was 0.90 for GSE7553 data set, increased more than 40% compared to a gene-based method. Moreover, identifying the abnormal regulatory patterns between pathway and its downstream genes provided more biologically interpretable information compared to gene or pathway based approaches.

• 대한한의학회지
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• 제24권3호
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• pp.130-137
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• 2003

Water, in a living being, is as essential as the essence derived from food is in maintaining one's life. The concepts are expressed in forms of "food and drink" and "drink-food" in the ${\mathbb{\ulcorner}}Hwangjenakyoung{\mathbb{\lrcorner}}$ and most of the other oriental medicine related references. Following the steps of the human body's metabolism, the water source builds up characteristic formations, such as bodily fluids (blood/perspiration/urine/essence), in each transforming phase according to the nature of the Ki that propels the transformation. Furthermore, each characteristic formations has its' own suitable duties, distinctive features and its field of activation. The vital energy of life is identified as a positive property due its fluidity and its formless nature. In order for this vital energy to come into its own, it needs to weld into one with the material-natured body of the negative property which will embrace the positive property and transform it into body fluid. Water taken into a body will undergo the first activation of Ki, dissolving the Wigi and the Wongi and transforming into the primary body fluid. The delicates among the dissolved Ki will once again go through a transformation in the Jungcho. It will turn into red blood, with influence of the vital function. When the vital energy completes its duties in all parts of the body, it combines with water again and transforms into the secondary bodily fluid. This is when the Takgi gets filtered and the new enriched essence is created.