• Journal of Korean Academy of Nursing
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• v.30 no.2
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• pp.331-341
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• 2000

Since cancer is not easily curable, patients who suffer from cancer may have physical, psychological and spiritual problems for the rest of their lives. Especially when cancer patients do not have much to live for and are placing a burden on their family they will experience more suffering emotionally as much as physically. This study was conducted to provide a basis of data for nursing intervention strategies to minimize a cancer patient`s suffering and to understand the relationship between suffering, burden and the meaning of life in cancer patients. The samples were composed of 160 cancer patients who were inpatients or outpatients of two university hospitals and two general hospitals in Seoul. Data collection were carried out from January, 25, 1999 to February, 26, 1999. The data were analyzed using a SAS program for descriptive statistics, pearson correlations, ANOVA, and Duncan tests. The results were as follows; 1. The scores on the two suffering scale ranged from 132 to 40 with a mean of 87.3(SD 17.5). The mean scores on the burden scale is 28.9(SD 6.9) and the score of the meaning of life ranged from 35 to 51 with a mean of 95.6(SD 18.4). 2. There were significant correlations between the amount of suffering and the magnitude of burden (r=.74, p=.00), the suffering and the meaning of life (r=-.59, p=.00) and the burden and meaning of life (r=-.61, p=.00). 3. In the degree of the suffering, the burden and the meaning of life were two very strong factors, the level of the suffering in cancer patients by age (F=2.64, p=.03) and education level (F=4.16, p=.00). The level of the burden in cancer patients differed by education level (F=4.70, p=.00) and type of cancer (F=2.97, p= .03). Also the level of the meaning of life in cancer patients was different by education level (F=3.55, p=.02). In conclusion, the burden and the meaning of life was identified as important variable that is contributed to reduce the suffering of cancer patients.

• Journal of Power Electronics
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• v.18 no.3
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• pp.702-713
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• 2018

Power loss reduction and total harmonic distortion(THD) minimization are two important goals of improving three-level inverters. In this paper, an optimized pulse width modulation (PWM) strategy that can reduce switching losses and balance the neutral point with an optional THD of three-level neutral-point-clamped inverters is proposed. An analysis of the two-level discontinuous PWM (DPWM) strategy indicates that the optimal goal of the proposed PWM strategy is to reduce switching losses to a minimum without increasing the THD compared to that of traditional SVPWMs. Thus, the analysis of the two-level DPWM strategy is introduced. Through the rational allocation of the zero vector, only two-phase switching devices are active in each sector, and their switching losses can be reduced by one-third compared with those of traditional PWM strategies. A detailed analysis of the impact of small vectors, which correspond to different zero vectors, on the neutral-point potential is conducted, and a hysteresis control method is proposed to balance the neutral point. This method is simple, does not judge the direction of midpoint currents, and can adjust the switching times of devices and the fluctuation of the neutral-point potential by changing the hysteresis loop width. Simulation and experimental results prove the effectiveness and feasibility of the proposed strategy.

• ETRI Journal
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• v.36 no.5
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• pp.714-720
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• 2014

In this paper, we propose the use of data-driven probabilistic utterance-level decision logic to improve Weighted Finite State Transducer (WFST)-based endpoint detection. In general, endpoint detection is dealt with using two cascaded decision processes. The first process is frame-level speech/non-speech classification based on statistical hypothesis testing, and the second process is a heuristic-knowledge-based utterance-level speech boundary decision. To handle these two processes within a unified framework, we propose a WFST-based approach. However, a WFST-based approach has the same limitations as conventional approaches in that the utterance-level decision is based on heuristic knowledge and the decision parameters are tuned sequentially. Therefore, to obtain decision knowledge from a speech corpus and optimize the parameters at the same time, we propose the use of data-driven probabilistic utterance-level decision logic. The proposed method reduces the average detection failure rate by about 14% for various noisy-speech corpora collected for an endpoint detection evaluation.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2000.04b
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• pp.332-339
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• 2000

In this paper the characteristics of vibration induced by subway trains running on track is discussed. The quantitative prediction of the vibration level and the countermeasure for reduction of necessary, is of importance for the better environment. It was made the constructed Bundang line as first step with the modified Young-Dan type to basis on the Japanese Young-Dan type. In this paper it was measured and analyzed to two region (①Susuh-Bokjung, ②Chorim-Suhyun region) of this, at present operational Bundang line when averaging velocity of train is 60(㎞/h). As the response characteristics of frequency induced by subway operation, it was confirmed that frequency band of neighborhood of 30∼80Hz in generally dominant. Also to assess the quantitative vibration as response level to be measured for each point of two region in subway operation, the vibrational response level was measured at the state to be not subway operation. And the level was approximately 1/5∼1/10 level comparing to subway operation.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.3
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• pp.369-374
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• 2008

This paper presents the evaluation procedures and the estimation method for the estimation of optimal rebate level for EE(Energy Efficiency) programs. The penetration amount of each appliance is estimated by applying price function to preferred diffusion model resulted from model compatibility test. To estimate the optimal rebate level, two objective functions which express the maximum energy saving and operation benefit are introduced and by multi-objective function which can simultaneously consider two objective functions the optimal rebate level of each appliance is estimated. And then, using the decided rebate level and each penetration amount, the priority order for reasonable investment of each high-efficiency appliance is estimated compared to the results of conventional method. Finally, using a benefit/cost analysis based on California standard practice manual, the economic analysis is implemented for the four perspectives such as participant, ratepayer impact measure, program administrator cost and total resource cost.

• Journal of applied mathematics & informatics
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• v.8 no.2
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• pp.519-530
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• 2001

A two commodity continuous review inventory system with independent Poisson processes for the demands is considered in this paper. The maximum inventory level for the i-th commodity fixed as $S_i$(i = 1,2). The net inventory level at time t for the i-th commodity is denoted by $I_i(t),\;i\;=\;1,2$. If the total net inventory level $I(t)\;=\;I_1(t)+I_2(t)$ drops to a prefixed level s $[{\leq}\;\frac{({S_1}-2}{2}\;or\;\frac{({S_2}-2}{2}]$, an order will be placed for $(S_{i}-s)$ units of i-th commodity(i=1,2). The probability distribution for inventory level and mean reorders and shortage rates in the steady state are computed. Numerical illustrations of the results are also provided.

• Journal of Power Electronics
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• v.14 no.6
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• pp.1093-1099
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• 2014

This paper proposes a power conversion topology involving a multi-winding transformer and converters. The fundamental idea is described with circuit diagrams, and the voltage output of the proposed topology is analyzed mathematically. The effectiveness of the topology is discussed with test results from a small-scale power conversion system. When conventional hardware consisting of two-level converters and a transformer is employed, multi-level voltage outputs can be applied to the transformer windings by the proposed method.

• Annual Conference on Human and Language Technology
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• 1994.11a
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• pp.140-145
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• 1994

형태소 분석은 단위 형태소를 분리한 후에 변형이 일어난 형태소의 원형을 복원하고, 분리된 단위 형태소들로부터 단어 형성 규칙에 맞는 연속된 형태소들을 구하는 과정이다. 이러한 일련의 분석 과정은 독립적인 특성이 강하면서 각 모듈이 서로 밀접하게 연관되어 있으므로 Two-level 모델에서는 형태론적 변형뿐만 아니라 형태소 분리 문제를 통합 규칙으로 처리하고 있다. 그러나 한국어에 Two-level 모델을 적응해 보면 형태소 분리와 형태론적 변형이 복합되어 있어서 교착어의 특성과 관계되는 단어 유형을 분석할 때 비효율적인 요소가 발견된다. 따라서 본 논문에서는 교착어인 한국어의 형태소 분석시에 발생하는 문제점들을 해결하는데 적합한 방법론으로 다층 형태론(multi-level morphology)과 다단계 모델(multi-level model)을 제안한다.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.50 no.11
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• pp.505-513
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• 2001

This paper presents the new three-level optimal control scheme for the large scale nonlinear systems, which is based on fast walsh transform. It is well known that optimization for nonlinear systems leads to the resolution of a nonlinear two point boundary value problem which always requires a numerical iterative technique for their solution. However, Three-level costate coordination can avoid two point boundary condition in subsystem. But this method also has the defect that must solve high order differential equation in intermediate level. The proposed method makes use of fast walsh transform, therefore, is simple in computation because of solving algebra equation instead of differential equation.

• The Transactions of the Korea Information Processing Society
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• v.6 no.10
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• pp.2809-2815
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• 1999

Level set, and active contour(snakes) models are extensively used for image segmentation or shape extraction in computer vision. Snakes utilize the energy minimization concepts, and level set is based on the curve evolution in order to extract contours from image data. In general, these two models have their own drawbacks. For instance, snake acts pooly unless it is placed close to the wanted shape boundary, and it has difficult problem when image has multiple objects to be extracted. But, level set method is free of initial curve position problem, and has ability to handle topology of multiple objects. Nevertheless, level set method requires much more calculation time compared to snake model. In this paper, we use good points of two described models and also apply multi resolution algorithm in order to speed up the process without decreasing the performance of the shape extraction.