• Journal of Korean Medical classics
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• v.26 no.4
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• pp.191-194
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• 2013

This paper discusses Mr. Yang Shangsan's contribution to the theory frame of traditional Chinese medicine. He advocated initially the classification of Huangdi Neijing, which took preliminary shape of TCM theoretical rudiment. His Huangdi Neijing Taisu drew the outline of the TCM theoretical system framework and had a profound historical significance.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.03a
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• pp.49-52
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• 1998

Neural Network has good performance in pattern classification, control and many other fields by learning ability. However, there is effective rule or systematic approach to determine optimal structure. In this paper, we propose a new method to find optimal structure of feed-forward multi-layer neural network as a kind of pruning method. That eliminating redundant elements of neural network. To find redundant elements we analysis error and weight changing with Rough Set Theory, in condition of executing back-propagation leaning algorithm.

• Journal of Korean Medical classics
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• v.26 no.4
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• pp.1-21
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• 2013

Objective : This study is about how theory on seven kinds of prescriptions in Yellow Emperor's Cannon of Internal Medicine(黃帝內經) had been developed and how it had been applied for in prescription books or clinical texts. Method : I made a comparison of this theory between prescription books and clinical texts. After it, I investigated the change or development of it. Result : The first explanation about this was made by Wang Bing(王氷). Yu Wanso(劉完素) made up several varieties and meanings of it, Jang Jahwa(張子和) corrected what Yu Wanso added. Besides, someone for example, Wang Hogo(王好古), Yi Cheon(李梴), and so on added new varieties and meanings of odd prescription and even prescription. Conclusion : Theory on seven kinds of prescriptions in Yellow Emperor's Cannon of Internal Medicine had been constantly changed and developed in prescription books or clinical texts.

• Particle and aerosol research
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• v.10 no.1
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• pp.33-43
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• 2014

A differential mobility analyzer (DMA) has been widely used as a standard tool for classifying nanoparticles with a certain size. More recently, several new types of DMA have been tested in an attempt to produce size-monodisperse nanoparticles. It is a bit surprise to see how simple the working theory of the DMA is. Although the theory was demonstrated quite successful, no one can guarantee whether the theory still works in another geometry of the DMA. In this regard, we first investigated the validity of the theory under various working conditions and then moved to check the validity upon minor change in its design. For the valid test, we compared the results with those obtained from a computational fluid dynamics.

• Herbal Formula Science
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• v.30 no.3
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• pp.211-224
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• 2022

Objects : Recent taste theory has been advanced to the receptor and cell of taste. We tried to apply the taste theory to the Kimi theory (氣味論) of 『ShinNongBonChoKyung (神農本草經)』 for the purpose of resonance between the Kimi theory and the taste theory. Methods : The special issues in Current Opinion in Physiology of the year 2021 gave us much information. Based on it, we have searched for more papers using google scholars with the key words; taste, taste receptor, sweet, umami, bitter, salty, sour. Then, we analyzed and compared the Kimi theory of 『ShinNong BonChoKyung)』 with the research papers of physiological taste. Results : Three classification of the herbs in 『ShinNongBonChoKyung』 is very reasonable based on the Taste theory. There is umami and no spicy in the taste theory, and Sweet includes umami in the Kimi theory. Taste is such a complex and connective sensory reaction of the brain and body of human being. There are much more results to couple the Kimi with the taste theory. Conclusions : The pharmacological property of Kimi theory of 『ShinNongBonCho Kyung』 will help the taste theory much more develop and expand. In addition to qi(氣), the Kimi theory will also find a way to be in harmony with modern pharmacology in the respective of taste(味) with the help of taste theory.

• Korean Journal of Oriental Medicine
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• v.13 no.2 s.20
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• pp.1-14
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• 2007

To overcome the limits of prevention and treatment against Diabetes Mellitus(DM) in Western medicine, there have been tendency finding solutions in traditional medicine based on Sogal. But Sogal had been so various concepts, classification and names. As a result there has been confusion in applying Sogal treatment to DM. So in order to clarify, it is necessary to study Sogal concepts and classification historically. The results of studying changes of Sogal concepts and classification are following : Untill AD 8 century, Sogal had not been only syndrome but also disease with throat and urinating difficulties. From 10c to 13c, Sogal had been divided three types in addition to the theories of internal organs, Samcho and complications. From 13c to 14c, the three types of Sogal theory was improved by various medical theory. But still Sogal covered the concepts of syndrome and disease. After 16c, in Chosun Dynasty. concepts of syndrome was eliminated and concepts of disease was strengthend by accounts on pathology, prognosis. complications and malignities. This tendeny was showed well in ${\ulcorner}DongEuiBoGam{\lrcorner}$ and connected to post doctors in Chosun. It was distiction with Chinese Traditional Medicine's view regarding Sogal as syndrome and disease as well, up to the present.

• Journal of Information Science Theory and Practice
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• v.5 no.3
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• pp.15-30
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• 2017

In some situations, you need information in order to solve a problem that has occurred. In information science, user needs are often described through very specific examples rather than through a classification of situation types in which information needs occur. Furthermore, information science often describes general human needs, typically with a reference to Maslow's classification of needs (1954), instead of actual information needs. Lexicography has also focused on information needs, but has developed a more abstract classification of types of information needs, though (until more recent research into lexicographical functions) with a particular interest in linguistic uncertainties and the lack of knowledge and skills in relation to one or several languages. In this article, we suggest a classification of information needs in which a tripartition has been made according to the different types of situations: communicative needs, cognitive needs, and operative needs. This is a classification that is relevant and useful in general in our modern information society and therefore also relevant for information science, including lexicography.

• Journal of Korea Multimedia Society
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• v.4 no.2
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• pp.108-115
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• 2001

In this paper we are attempted to quantitative classification of the three object color regions on a RGB image using of an improved ML(Maximum Likelihood) classification method. A RGB color image consists of three bands i.e., red, green and blue. Therefore it has a 3 dimensional structure in view of the spectral and spatial elements. The 3D structural yokels were projected in RGB cube wherefrom the ML method applied. Between the conventionally and easily usable Box classification and the statistical ML classification based on Bayesian decision theory, we compared and reviewed. Using the ML method we obtained a good segmentation result to classify positive cell nucleus, negative cell Nucleus and background un a immuno-histological breast carcinoma image. Hopefully it is available to diagnosis and prognosis for cancer patients.

• Journal of Information Processing Systems
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• v.13 no.2
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• pp.400-416
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• 2017

Music emotion is an important component in the field of music information retrieval and computational musicology. This paper proposes an approach for automatic emotion classification, based on rough set (RS) theory. In the proposed approach, four different sets of music features are extracted, representing dynamics, rhythm, spectral, and harmony. From the features, five different statistical parameters are considered as attributes, including up to the $4^{th}$ order central moments of each feature, and covariance components of mutual ones. The large number of attributes is controlled by RS-based approach, in which superfluous features are removed, to obtain indispensable ones. In addition, RS-based approach makes it possible to visualize which attributes play a significant role in the generated rules, and also determine the strength of each rule for classification. The experiments have been performed to find out which audio features and which of the different statistical parameters derived from them are important for emotion classification. Also, the resulting indispensable attributes and the usefulness of covariance components have been discussed. The overall classification accuracy with all statistical parameters has recorded comparatively better than currently existing methods on a pair of datasets.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.4
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• pp.91-98
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• 2017

Previous works for detecting arrhythmia have mostly used nonlinear method such as artificial neural network, fuzzy theory, support vector machine to increase classification accuracy. Most methods require higher computational cost and larger processing time. Therefore it is necessary to design efficient algorithm that classifies PVC(premature ventricular contraction) and decreases computational cost by accurately detecting minimal feature point based on only R peak through optimal R wave. We propose an optimal R wave detection and PVC classification method through extracting minimal feature point in IoT environment. For this purpose, we detected R wave through optimal threshold value and extracted RR interval and R peak pattern from noise-free ECG signal through the preprocessing method. Also, we classified PVC in realtime through RR interval and R peak pattern. The performance of R wave detection and PVC classification is evaluated by using record of MIT-BIH arrhythmia database. The achieved scores indicate the average of 99.758% in R wave detection and the rate of 93.94% in PVC classification.