• International Journal of Computer Science & Network Security
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• v.22 no.8
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• pp.217-221
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• 2022

The article analyzes the main theoretical approaches to the formation of managerial competencies and establishes the degree of development of the problem. The content of the concept of "managerial competence" has been clarified, to determine the structure of managerial competencies of a future specialist in the education system and indicators of the formation of managerial competencies. The organizational and pedagogical conditions necessary for the effective process of forming the managerial competencies of future specialists are revealed. The following research methods were used in the work: theoretical (analysis of regulatory documents and scientific literature on the problem under study, comparison, generalization, modeling), empirical (diagnostics of the level of formation of managerial competencies of students of the system, questioning, observation, peer review, comparative qualitative and quantitative analysis of diagnostic results the level of formation of managerial competencies).

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.2 no.1
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• pp.43-48
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• 2002

This paper discusses the application of fuzzy-ARTMAP neural network to compensate the nonlinearity of satellite communication channel. The fuzzy-ARTMAP is the class of ART(adaptive resonance theory) architectures designed fur supervised loaming. It has capabilities not fecund in other neural network approaches, that includes a small number of parameters, no requirements fur the choice of initial weights, automatic increase of hidden units, and capability of adding new data without retraining previously trained data. By a match tracking process with vigilance parameter, fuzzy-ARTMAP neural network achieves a minimax teaming rule that minimizes predictive error and maximizes generalization. Thus, the system automatically leans a minimal number of recognition categories, or hidden units, to meet accuracy criteria. As a input-converting process for implementing fuzzy-ARTMAP equalizer, the sigmoid function is chosen to convert actual channel output to the proper input values of fuzzy-ARTMAP. Simulation studies are performed over satellite nonlinear channels. QPSK signals with Gaussian noise are generated at random from Volterra model. The performance of proposed fuzzy-ARTMAP equalizer is compared with MLP equalizer.

• Journal for History of Mathematics
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• v.20 no.3
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• pp.147-166
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• 2007

This study is about the law of cosines. It dealt with its historical origin and the developmental process of the age of Greece, Islam and Modern age. Especially, we tried to find out how the extension of the law of cosines for spherical triangles and tetrahedron from the law of cosines for plane was done. On the basis of this analysis, we investigated how the law of cosines was generated and proved it through the logical demonstration and mathematical induction. This made us find out the mathematical meaning of mathematical concepts.

• Journal of Forest and Environmental Science
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• v.6 no.1
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• pp.18-28
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• 1989

The purpose of this study is to emphasize the indispensability and generalization of ecological approach in landscape planning and design, by describing the main ecological principles and the process and method applying them to landscape planning and presenting the case study of ecological planning. Landscape architecture is the science dealing with nature and therefore ecological approach in it cannot be emphasized too much. The main ecological principles that must be considered in landscape planning and design are energy flow, food chains, biogeochemical cycles, limiting factors, carrying capacity and homeostasis, vegetational succession, ecotone and edge effect, ecological niche, etc.. The seven component factors of natural ecosystem are climate, geology, physiography, hydrology, soil, vegetation, wildlife. These seven factors are interrelated by the above mentioned ecological principles. In landscape planning and design process, it is necessary that landscape architect should interpret and assess not only the component factors of natural ecosystem but also the interrelationships and ecological principles immanent in them and apply the data to final plan.

• Journal of The Korean Association For Science Education
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• v.20 no.4
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• pp.667-679
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• 2000

One of the major activities in scientific inquiry, as well as in the process of conceptual change, is the generation of scientific hypothesis. In this study, the definition and the characteristics of scientific hypothesis are analyzed. Especially, differences between explanatory hypothesis and scientific explanation, predictive hypothesis and scientific prediction, and scientific hypothesis and the inductive generalization are analyzed. And the process of making scientific hypothesis is suggested as 4 stages, and the role and the characteristic of the abductive thinking, which can be viewed as one of the scientific inferences needed to generate hypothesis, are discussed. In analysis, concrete examples from integrated science textbook of high school are used for application to the classroom teaching.

• Proceedings of the KIEE Conference
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• 2002.07d
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• pp.2821-2823
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• 2002

In this paper we propose the Multi-FNN (Fuzzy-Neural Networks) for optimal identification modeling of complex system. The proposed Multi-FNNs is based on a concept of FNNs and exploit linear inference being treated as generic inference mechanisms. In the networks learning, backpropagation(BP) algorithm of neural networks is used to updata the parameters of the network in order to control of nonlinear process with complexity and uncertainty of data, proposed model use a HCM(Hard C-Means)clustering algorithm which carry out the input-output dat a preprocessing function and Genetic Algorithm which carry out optimization of model The HCM clustering method is utilized to determine the structure of Multi-FNNs. The parameters of Multi-FNN model such as apexes of membership function, learning rates, and momentum coefficients are adjusted using genetic algorithms. An aggregate performance index with a weighting factor is proposed in order to achieve a sound balance between approximation and generalization abilities of the model. NOx emission process data of gas turbine power plant is simulated in order to confirm the efficiency and feasibility of the proposed approach in this paper.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.05a
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• pp.47-50
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• 2000

In this paper, an optimal identification method using Multi-FNN(Fuzzy-Neural Network) is proposed for model ins of nonlinear complex system. In order to control of nonlinear process with complexity and uncertainty of data, proposed model use a HCM clustering algorithm which carry out the input-output data preprocessing function and Genetic Algorithm which carry out optimization of model. The proposed Multi-FNN is based on Yamakawa's FNN and it uses simplified inference as fuzzy inference method and Error Back Propagation Algorithm as learning rules. HCM clustering method which carry out the data preprocessing function for system modeling, is utilized to determine the structure of Multi-FNN by means of the divisions of input-output space. Also, the parameters of Multi-FNN model such as apexes of membership function, learning rates and momentum coefficients are adjusted using genetic algorithms. Also, a performance index with a weighting factor is presented to achieve a sound balance between approximation and generalization abilities of the model, To evaluate the performance of the proposed model, we use the time series data for gas furnace and the numerical data of nonlinear function.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.10
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• pp.883-892
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• 2021

This paper provides a process for developing deep learning-based aerial object detection models that can run in realtime on onboard. To improve object detection performance, we pre-process and augment the training data in the training stage. In addition, we perform transfer learning and apply a weighted cross-entropy method to reduce the variations of detection performance for each class. To improve the inference speed, we have generated inference acceleration engines with quantization. Then, we analyze the real-time performance and detection performance on custom aerial image dataset to verify generalization.

• Journal of the Korean Society of Earth Science Education
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• v.7 no.3
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• pp.293-302
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• 2014

The purpose of this study is to investigate the effects of research project program of science process skills and science-related attitudes for high school students. This study were accompanied by 72 junior students of G High School who were reorganized as students whose research subject was closely related to chemistry. These students went through 28 periods of 14 sessions of research project program, were tested before and after the study on their science process skills and science-related attitudes. A simple questionnaire afterwards to get their thoughts on this program, was surveyed. The results are as follows. First, the research project program was effective in the science process skills (p<0.01). There was a statistically meaningful difference in the subcategory of deduction, setting up hypotheses, finding variables, building experiments, graphing and interpreting data. Although there was an increase in the average scores of prediction, operant definition, and generalization factors, it was not statistically meaningful (p>0.05). Second, the research project program showed an increase in the post-test of the science-related attitudes but was not statistically meaningful (p>0.05). In terms of subcategoty, the social importance of science, criterion of scientists, application of scientific attitude, and enjoyment of science classes were statistically meaningful (p<0.05). Third, according to the survey of research project program, there was an increase in creating a research problem and solving it by oneself as well as in participating with other teammates to solve a problem. But the most difficult thing was when the experiment failed during the research was processing. The curiosity and interest, towards objects around all lives and science classes after the program done, were increased.

• Journal of The Korean Association For Science Education
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• v.22 no.4
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• pp.706-716
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• 2002

The purpose of this study was to compare and analyze the science process skills and teaching methods between the 6th and the 7th elementary school science textbooks. For this study, science textbooks and teacher's guidebooks from the 3rd to the 6th grade were analyzed. In this research the science process skills are divided by basic process skills(BPS) and integrated process skills(IPS). The BPS is composed of observing, classifying, measuring, predicting and inferring skill, which are 5 subcategories. The IPS is composed of problem cognition, formulating hypothesis, controlling variables, transforming data, interpreting data, drawing result, and generalization, which are 7 subcategories. The results found in the analysis of science process skills in the 6th and 7th science textbooks are as follows: 1. The percentage of the BPS was increased, but the IPS was decreased in the 7th than the 6th. 2. The percentage of the IPS was higher than the BPS in the 6th science textbooks, but the BPS was higher than IPS in lower grade and the IPS was higher than the BPS in higher grade in the 7th textbooks. 3. Observing and problem cognition skill were most dominant in the 6th and 7th science textbooks. 4. The percentages of observing(24.8%), classifying(5.4%), measuring(5.6%), inferring(6.0%) in the BPS and interpreting data(4.4%) in the IPS were increased, but predicting(3.8%), formulating hypothesis(0.5%), controlling variables( 1.8%), transforming data( 1.2%), drawing result(0.8%) and generalization(0.9%) skills were decreased in the 7th. And teaching methods suggested in the curriculum are as follows: the percentages of learning by observation(19.2%) and role play(0.1 %) were decreased, but learning by experiment(6.2%), learning by discussion(2.0%), learning by investigation(4.6%) and creative learning(6,4%) were increased in the 7th than the 6th. In conclusion, it was found that the basic process skills were emphasized in the 7th science textbooks than the 6th and the science process skills in the science textbooks of the 7th curriculum were distributed by the grade level of the elementary children.