• Korean Journal of Pharmacognosy
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• v.3 no.4
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• pp.187-197
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• 1972

In spite of the fact that the system of oriental medicine still remains in the realm of 'unproven-method of treatment', no one can deny that the oriental medicine is a rich source of idea and motivation for the discovery of new drug from natural sources. However, non-scientific, mystic hypothetical system of oriental medicine refuses to be revealed scientifically. For the purpose of drawing useful parameters for inductive reasoning of the system, a new approach which comprises statistical analyses of prescription was attempted in this study. One hundred and thirty two ginseng-compounds prescription in 'Bang-Yak-Hap-Pyon', one of the most popular formularies of oriental medicine in Korea, were analysed by multivariate analysis technique. The results revealed ginseng from many points of view, e.g., therapeutic indications, dose, and compatibility, etc. Among these, the most striking coincidence with scientific achievements of modern pharmacology, is the fact that the oriental medicine has characterized ginseng already from remote ancient times as neither a specific curative nor an aphrodisiac, but a non-specific adaptogenic drug for general infirmity.

• Proceedings of the KIEE Conference
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• 1994.07a
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• pp.389-391
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• 1994

This paper proposes an approach to control the current amplitude and phase simultaneously. To do this, variable structure control and adaptive parameter estimation arc applied to the current control of a single-phase PWM inverter with unknown R-L series load. The load parameters, R and L, are estimated by using the recursive least square method and these parameters are used to adjust the feedback gains of control input. The inverter system is modelled in a 2nd-order system by treating load current variation caused by inductive component as a disturbance. Simulation and experiment based on the 2nd -order model are done and the results show good dynamic response and low THD.

• The Journal of Information Systems
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• v.3
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• pp.147-169
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• 1994

This paper present s a pattern generation scheme from financial charts. The patterns constitute knowledge which consists of patterns as the conditional part and the impact of the pattern as the conclusion part. The patterns in charts are represented in a syntactic approach. If the pattern elements and the impact of patterns are defined, the patterns are synthesized from simple to the more highly credible by evaluating each intermediate pattern from the instances. The overall process is divided into primitive discovery by Genetic Algorithms and pattern synthesis from the discovered primitives by the Syntactic Pattern-based Inductive Learning (SYNPLE) algorithm which we have developed. We have applied the scheme to a chart : the trend lines of stock price in daily base. The scheme can generate very credible patterns from training data sets.

• Journal of Korean Elementary Science Education
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• v.26 no.2
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• pp.201-208
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• 2007

The purpose of this study was to analyze the structure and type of prospective elementary school teachers' scientific hypotheses generated on zoological tasks. The subjects were 18 prospective elementary school teachers. Four zoological hypothesis generation tasks were developed and administered to the subjects. After being presented with the zoological situations of the tasks, the subjects were asked to generate causal questions and scientific hypotheses. The scientific hypotheses were analyzed by the inductive approach. The results of this study showed that the hypotheses contained explicans and explicanda. The explicans were divided into two parts: 'what' and 'how'. In some cases, additional explanations were attached to the 'what' section. In addition, the hypotheses were classified into 9 types. The number of explicanda, the pattern of explicans, and the number of explicans were used as criteria for classification purposes. This study also discussed the implications of these findings for future directions in teaching and teaming in science education.

• The Journal of Natural Sciences
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• v.15 no.1
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• pp.47-56
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• 2005

The substituent dependence of geometric distortion through the two independent electronic substituent effects is analyzed for mono-substituted benzene derivatives of $C_{2v}$. Based on resonance structures, quantitative relationships expressing the resonance and field/inductive contribution terms in bond distortions are derived. The calculated field-effect parts of $C_{ipso}$_$C_{ortho}$ ring bonds increase and decrease compared to benzene for electropositive and electronegative substituents respectively. The nonbonded axial distance, $C_{ipso}$....$C_{para'}$ decreases for electronegative substituents and increases for electropositive substituents. As the electronegativity increases, the distance $C_{ortho}$....$C_{ortho'}$ increases. With the $\pi$-donors, $C_{meta}$....$C_{meta'}$ nonbonded distances are shorter compared to the ones of benzene, and for $\pi$-acceptors, the are longer. Our model based on valence bond approach predicts that the average bond length determined the area of ring, and the sum of the angles <$C_{ortho}$_$C_{ispo}$_$C_{ortho}$ and <$C_{meta}$_$C_{para}$_$C_{meta}$ determines the axial distance.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.3 no.1
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• pp.44-51
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• 2003

Knowledge acquisition is a bottleneck in knowledge-based system implementation. Decision tree induction is a useful machine learning approach for extracting classification knowledge from a set of training examples. Many real-world data contain fuzziness due to observation error, uncertainty, subjective judgement, and so on. To cope with this problem of real-world data, there have been some works on fuzzy classification rule learning. This paper makes a survey for the kinds of fuzzy classification rules. In addition, it presents a fuzzy classification rule learning method based on decision tree induction, and shows some experiment results for the method.

• Proceedings of the KIEE Conference
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• 1999.07a
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• pp.436-439
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• 1999

This paper present a study on the interference levels on the communication lines, which are parallel to the electrified rails. The interference study is carried out using a circuit model approach. First, the self and shunt impedances of all the conductors in the rail system and the mutual impedances between different conductors are computed. Several different scenarios are analyzed, including the load condition and a few fault conditions with different fault locations. The induced potentials on the communication cables are computed. The effect of the buried ground wires is also analyzed by comparing the results with and without the presence of the ground wires. The results presented in the paper can be used as a reference for estimating interference levels in similar rail systems.

• The Journal of Information Systems
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• v.15 no.4
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• pp.211-224
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• 2006

This study investigates the application of data mining techniques such as artificial neural networks, rough sets, and induction teaming to the intrusion detection systems. To maximize the effectiveness of data mining for intrusion detection systems, we introduced the asymmetric costs with false positive errors and false negative errors. And we present a method for intrusion detection systems to utilize the asymmetric costs of errors in data mining. The results of our empirical experiment show our intrusion detection model provides high accuracy in intrusion detection. In addition the approach using the asymmetric costs of errors in rough sets and neural networks is effective according to the change of threshold value. We found the threshold has most important role of intrusion detection model for decreasing the costs, which result from false negative errors.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.21 no.46
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• pp.73-91
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• 1998

The ratio of Industrial Accident in Korea has been inclined to decrease for recent ten years since industrialization beginnings of Korea. But it is still in high level viewed from international comparison. Up to now, we depended on classical method Accident as the phenomenical and inductive result. And we searched for the counter plan in the basis of the result by this method. But, in this research, we analyzed the distinctions which the structure of the occurrence of Industrial Accident using new model in order to approach the cause of Industrial accident of Korea more basically. In this new model, I am going to arrange the controllable variables in the factors of Industrial Accident and to analyze the effect of these controllable variables in the structure of Industrial Accident.

• Korean Journal of Logic
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• v.19 no.1
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• pp.83-106
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• 2016

We compare the approaches to natural numbers and the induction principles in Frege's Grundgesetze and in systems thereafter. We start with an illustration of Frege's approach and then explain the use of induction principles in Zermelo-Fraenkel set theory and in modern type theories such as Calculus of Inductive Constructions. A comparison among the different approaches to induction principles is also given by analyzing them in respect of predicativity and impredicativity.