• Structural Engineering and Mechanics
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• v.67 no.6
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• pp.617-628
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• 2018

This paper deals with the maximization of the critical buckling load of simply supported antisymmetric angle-ply plates resting on Pasternak foundation subjected to compressive loads using teaching learning based optimization method (TLBO). The first order shear deformation theory is used to obtain governing equations of the laminated plate. In the present optimization problem, the objective function is to maximize the buckling load factor and the design variables are the fibre orientation angles in the layers. Computer programming is developed in the MATLAB environment to estimate optimum stacking sequences of laminated plates. A comparison also has been performed between the TLBO, genetic algorithm (GA) and differential evolution algorithm (DE). Some examples are solved to show the applicability and usefulness of the TLBO for maximizing the buckling load of the plate via finding optimum stacking sequences of the plate. Additionally, the influences of different number of layers, plate aspect ratios, foundation parameters and load ratios on the optimal solutions are investigated.

• Journal of KIISE:Computer Systems and Theory
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• v.35 no.3
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• pp.120-132
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• 2008

Networks-on-Chip (NoC) is emerging as a practical development platform for future systems-on-chip products. We propose an energy-efficient static algorithm which optimizes the energy consumption of task communications in NoCs with voltage scalable links. In order to find optimal link speeds, the proposed algorithm (based on a genetic formulation) globally explores the design space of NoC-based systems, including network topology, task assignment, tile mapping, routing path allocation, task scheduling and link speed assignment. Experimental results show that the proposed design technique can reduce energy consumption by 28% on average compared with existing techniques.

• Journal of KIISE:Computer Systems and Theory
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• v.27 no.12
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• pp.941-950
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• 2000

OPKFDD(Ordered Pseudo-Kronecker Functional Decision Diagram)는 각 노드에서 다양한 확장방법(decomposition)을 취할 수 있는 Ordered-DD(Decision Diagram)의 한 종류로서 각 노드마다 Shannon, positive Davio, negative Davio 확장중의 하나를 사용하도록 하며 다른 종류의 DD와 비교해서 작은 수의 노드로 함수를 표현할 수 있다. 그러나 각 노드마다 각기 다른 확장 방법을 선택할 수 있는 특징 때문에 입력 노드에 대한 확장 방법과 입력 변수 순서의 결정에 의해서 OPKFDD의 크기가 좌우되며 최소의 노드 수를 갖는 OPKFDD의 구성은 매우 어려운 문제로 알려져 있다. 즉, OPKFDD에서의 입력변수와 각 노드의 확장 방법을 병행해서 최적의 해를 구하기 위해서는 η개의 입력변수에 대해서 η!.3$^2$$^n$$^{-1}$의 경우의 수를 고려해야 한다. 따라서 본 논문에서는 주어진 불리안 함수를 OPKFDD의 최적화 표현을 위해 노드 수를 기준으로 하여 입력변수 순서와 각 노드의 확장 방법을 함께 고려하는 혼용 유전자 알고리즘을 제안하며 최소의 노드 수를 갖는 OPKFDD를 생성하기 위해서 다양한 파라미터 값에 따른 실험결과를 제시한다.

• Structural Engineering and Mechanics
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• v.52 no.1
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• pp.19-33
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• 2014

Structural robustness refers to the ability of a structure to avoid disproportionate consequences to the original cause. Currently attentions focus on the concepts of structural robustness, and discussions on methods of robustness based structural design are rare. Firstly, taking basis in robust $H_{\infty}$ control theory, structural robustness is assessed by $H_{\infty}$ norm of the system transfer function. Then using the SIMP material model, robustness based design of grid structures is formulated as a continuum topology optimization problem, where the relative density of each element and structural robustness are considered as the design variable and the optimization objective respectively. Generalized elitist genetic algorithm is used to solve the optimization problem. As examples, robustness configurations of plane stress model and the rectangular hyperbolic shell model were obtained by robustness based structural design. Finally, two models of single-layer grid structures were designed by conventional and robustness based method respectively. Different interference scenarios were simulated by static and impact experiments, and robustness of the models were analyzed and compared. The results show that the $H_{\infty}$ structural robustness index can indicate whether the structural response is proportional to the original cause. Robustness based structural design improves structural robustness effectively, and it can provide a conceptual design in the initial stage of structural design.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.38 no.5
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• pp.37-43
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• 2001

Since Internet has been used anywhere, illegal intrusion to a certain host or network become the ciritical factor in security. Although many anomaly detection models have been proposed using the statistical analysis, data mining, genetic algorithm/programming to detect illegal intrusions, these models has defects to detect new types of intrusions. THRE-KBANN (theory-refinement knowledge-based artificial neural network) which can learn continuously based on KBANN, is proposed for the anomaly detection model in this paper. The performance of this model is compared with that of the model based on data mining using the experimental data. The ability of continual learning for the detection of new types of intrusions is also evaluated.

• School Mathematics
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• v.4 no.1
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• pp.15-27
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• 2002

The purpose of this thesis is, through analysing the characteristics of the definitions in Korean school mathematics textbooks, to explore the levels of them. Definitions use din academic mathematics are rigorous. But they should be transformed into various types, which are presented in school mathematics textbooks, with didactical purposes. In this thesis we investigated such types of transformation. With the result of this investigation we tried to identify the levels of the definitions in school mathematics textbooks. We tried to construct, with consideration about methods of definition, frame for analysing the types of the definitions in school mathematics. Methods of definition are classified as connotative method, denotative method, and synonymous method. Especially we identified that connotative method contains logical definition, genetic definition, relational definition, operational definition, and axiomatic definition. With these analyses we made a frame for investigating the characteristics of the definitions in school mathematics textbooks. With this frame we identified concrete types of transformations of methods of definition. We tried to analyse this result with van Hieles' theory about let·els of geometry learning and the mathematical language levels described by Freudenthal, and identify the levels of definitions in school mathematics. We showed the levels of definitions in the geometry area of the Korean school mathematics.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.11a
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• pp.491-501
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• 2002

Case-based reasoning is emerging as a leading methodology for the application of artificial intelligence. CBR is a reasoning methodology that exploits similar experienced solutions, in the form of past cases, to solve new problems. Hybrid model achieves some convergence of the wide proliferation of credit evaluation modeling. As a result, Hybrid model showed that proposed methodology classify more accurately than any of techniques individually do. It is confirmed that proposed methodology predicts significantly better than individual techniques and the other combining methodologies. The objective of the proposed approach is to determines a set of weighting values that can best formalize the match between the input case and the previously stored cases and integrates fuzzy sit concepts into the case indexing and retrieval process. The GA is used to search for the best set of weighting values that are able to promote the association consistency among the cases. The fitness value in this study is defined as the number of old cases whose solutions match the input cases solution. In order to obtain the fitness value, many procedures have to be executed beforehand. Also this study tries to transform financial values into category ones using fuzzy logic approach fur performance of credit evaluation. Fuzzy set theory allows numerical features to be converted into fuzzy terms to simplify the matching process, and allows greater flexibility in the retrieval of candidate cases. Our proposed model is to apply an intelligent system for bankruptcy prediction.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.2
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• pp.1155-1157
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• 2013

Cancer is a highly complex medical problem with ramifications for public health throughout the world. Most studies have mainly focused on change in the nuclei as being aetiologically responsible. Few have examined the relationship between the cytoplasm and cancer, despite the fact that research has indicated that the cytoplasmic environment is an important factor for cellular differentiation and that the genetic information provided by the nucleus is entirely dependent on this environment for its expression. Gene mutations may be the result, rather than the cause of carcinogenesis. We submit a new concept - "short base sequences" (50-500 bps, including DNA or RNA sequences) in the cytoplasm which could play an important role in carcinogenesis. This is a new theory to explain the origin of the cancer.

• The korean journal of orthodontics
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• v.16 no.2
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• pp.69-80
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• 1986

This study was undertaken to investigate the inheritance in craniofacial complex among Korean familial members. The subjects were 160 lateral cephalometric radiographs from 45 families. Standard product-moment correlation coefficients(r) were calculated for the measurements between the familial pairings. Further, coefficients of $determination(r^2)$ were calculated and multiple regression analyses were performed to assess the use of parents' record for predicting an offspring's craniofacial features. The following results were obtained. 1. First-degree relatives had a high level of significant correlations which were compatible with a polygenic theory of inheritance than those of non-relatives. 2. Mother-daughter pair had the highest significant correlations, then mother-son and father-son pairs, and, finally, father-daughter pair had the lowest significant correlations. 3. The genetic influence was higher in anterior cranial base length and genial angle. In contrast, the environmental influence was higher in posterior border of ramus, maxillary ant. teeth, maxillary & mandibular apical bases and Gla-P. occ. 4. The predictability of offspring's cranio-facial growth could be improved by using multiple measurements from both parents than those from father or mother only.

• Journal for History of Mathematics
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• v.19 no.4
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• pp.117-132
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• 2006

For a meaningful learning of the Construction Unit in 7-B Grade, this study aims to develop teaming materials on the basis of Clairaut's $El{\`{e}}ments$ de $G{\`{e}}om{\`{e}}trie$, which is grounded on a natural generation derived from the history of mathematics and emphasizes students' inquiry activity and reflective thinking activity, and to analyze the characteristics of learning process shown in classes which use the application of teaming materials. Six students were sampled by gender and performance and an interpretive case study was conducted. Construction was specified so as to be consciously executed with emphasis on an analysis to enable one to discover construction techniques for oneself from a standpoint of problem solving, a justification to reveal the validity of construction, and a step of reflection to generalize the results of construction.