• Journal of Korean Medical classics
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• v.26 no.4
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• pp.237-251
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• 2013

Objective : Min fire(民火) is mentioned as a kind of fire that exists in human body, which rarely appears in traditional medical books. It was mainly mentioned as a fire in urinary bladder, and was referred to have some function in the process of qi transformation(氣化) in urinary bladder. As the concept of min fire was originated from the Taoist internal alchemy, this study will make a comparative research between the examples of min fire in medical theory and Taoist internal alchemy, and will find out the conceptual significance of min fire in medical theory. Method : Among traditional medical books, min fire appears in such books as Yixuerumen(醫學入門), Youyoujicheng(幼幼集成), Fengshijinnangmilu(馮氏錦囊秘錄), and also in some books of Taoist internal alchemy. Though rather brief and informal, they show us some information about the performance of min fire in human body. So based on the information about min fire that was acquired from those books, this study will apply the concept of min fire to the traditional dispute on the problem of qi transformation in urinary bladder. Result & Conclusion : The concept of min fire that is related to the problem of qi transformation in urinary bladder, shows well that qi transformation in urinary bladder produces not only urine but also the ascent of shuijing(水精). And it also shows well that min fire acts as a power for the qi transformation in urinary bladder, which would perform well in the cooperation with sovereign fire(君火). This can be presented as a theoretical basis that the power for the qi transformation in urinary bladder is basically prepared in urinary bladder itself.

• Communications for Statistical Applications and Methods
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• v.7 no.1
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• pp.97-106
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• 2000

In time series analysis we generally use Box-Cox power transformation for variance stabilization. In this paper we show that order estimator and one step ahead forecast of transformed AR(1) model are approximately invariant to those of the original model under some assumptions. A small Monte-Carlo simulation is performed to support the results.

• Journal of the Korea Institute of Military Science and Technology
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• v.13 no.3
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• pp.358-364
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• 2010

The necessity for harmonically growing of economy and environment has been on the rise late in the twentieth century. Green transformation is defined as efficiency enhancement of conventional guns and ammunitions. We also define green innovation as evolution of fire power systems breaking with conventional methodology. This kind of green innovation could even change a paradigm of warfare in the future. In this paper, we classify the green technology in the field of fire power into five technological groups, and the research and development trend of green technology in the field of fire power is analyzed.

• Journal of National Security and Military Science
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• s.4
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• pp.381-418
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• 2006

In present, advanced countries in the world are seen concentring on Military Transformation to create new military capability as there is a shift in Warfare Paradigm. Rapid development of technology enables military system, operational concept and organization innovated. As a result, Revolution in Military Affairs(RMA) that dramatically increased warfighting capability is pursued. Especially, advanced information technology constructs system of systems with abilities of battle visualization, information sharing in battlefield, long-range strike capability that are interoperable and combined. Corresponding to this, engagement methods and organizations are being progressively developed. The purpose of this thesis is overview of newly developing Warfare Paradigm and analysis of tendency of Military Transformation that advanced countries are pursuing preparation to this. Above all, specific aspects and contents of the Warfare Paradigm which emerged by information age were summarized. Subsequently, Military Transformation which provides the basic concepts and principles to the advanced countries in the world for the creation of new military capability was discussed. In conclusion, the tendency of Military Transformation by U.S.A, Japan, China, and Russia surround the Korean peninsular as the major power in military was carefully observed.

• Nuclear Engineering and Technology
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• v.53 no.7
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• pp.2377-2386
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• 2021

To model the atmospheric dispersion of radionuclides released from nuclear accident is very important for nuclear emergency. But the uncertainty of model parameters, such as source term and meteorological data, may significantly affect the prediction accuracy. Data assimilation (DA) is usually used to improve the model prediction with the measurements. The paper proposed a parameter bias transformation method combined with Lagrangian puff model to perform DA. The method uses the transformation of coordinates to approximate the effect of parameters bias. The uncertainty of four model parameters is considered in the paper: release rate, wind speed, wind direction and plume height. And particle swarm optimization is used for searching the optimal parameters. Twin experiment and Kincaid experiment are used to evaluate the performance of the proposed method. The results show that the proposed method can effectively increase the reliability of model prediction and estimate the parameters. It has the advantage of clear concept and simple calculation. It will be useful for improving the result of atmospheric dispersion model at the early stage of nuclear emergency.

• Journal of the Korean Statistical Society
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• v.30 no.4
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• pp.563-571
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• 2001

In this paper, we study selecting a transformation so that the transformed variable is nearly symmetrically distributed. The large sample properties of an M-estimator of transformation parameter that is obtained by minimizing the integrated square of the imaginary part of the empirical characteristic function are investigated when a random sample is selected from some unspecified distribution. According to influence function calculations and Monte Carlo simulations, these estimates are less sensitive, than the normal model maximum likelihood estimates, to a few outliers.

• The Plant Pathology Journal
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• v.17 no.1
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• pp.1-8
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• 2001

The technique of plant transformation has started to show off its great power in the area of plant breeding by commercially successful introduction of transgenic varieties such as herbicide tolerant soybean and insect resistant corn in USA with an unimaginable speed. However, in contrast with the great success in the commercialization of herbicide tolerance and insect resistance, the transformation works on disease resistance has not yet reached the stage of full commercialization. This review surveys the current status of molecular breeding for plant disease resistance and their limits and problems. Some novel ideas and approaches in molecular breeding for disease resistance are introduced.

• JOURNAL OF ELECTRICAL WORLD
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• no.8 s.116
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• pp.14-17
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• 1986

• International Journal of Control, Automation, and Systems
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• v.5 no.6
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• pp.652-662
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• 2007

This paper presents a new and simple method for sensorless operation of matrix converter drives using a constant air-gap flux and the imaginary power flowing to the motor. To improve low-speed sensorless performance, the non-linearities of a matrix converter drive such as commutation delays, turn-on and turn-off times of switching devices, and on-state switching device voltage drop are modeled using PQR transformation and compensated using a reference current control scheme. The proposed compensation method is applied for high performance induction motor drives using a 3 kW matrix converter system. Experimental results are shown to illustrate the feasibility of the proposed strategy.

• Journal of Power Electronics
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• v.7 no.4
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• pp.271-277
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• 2007

In this paper, an induction motor rotor fault diagnosis system using current signals, which are measured using the axis-transformation method is presented. Inverter-fed motor drives, unlike line-driven motor drives, have stator currents which are rich in harmonics and therefore fault diagnosis using stator current is not trivial. The current signals for rotor fault diagnosis need precise and high resolution information, which means the diagnosis system demands additional hardware such as a low pass filter, high resolution ADC, an encoder and additional hardware. Therefore, the proposed axis-transformation method is expected to contribute to a low cost fault diagnosis system in inverter-fed motor drives without the need for any additional hardware. In order to confirm the validity of the developed algorithms, various experiments for rotor faults are tested and the line current spectrum of each faulty situation, using the Park transformation, is compared with the results obtained from the FFT(Fast Fourier Transform).