• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2006.11a
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• pp.299-302
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• 2006

We present an innovative means of numerically treating interfaces associated with chemically active energetic materials. Recent advances in wave tracking technique based on the Ghost Fluid Concept is extended to handle multi-material multi-phase interfaces associated with chemical environment associated with explosion. We show several work-in-progress applications of our code, including the impact problems involving both energetic and inert elements. Accurate modeling of the equation of state and the constitutive relations are also discussed

• Journal of KIISE:Databases
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• v.32 no.3
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• pp.304-314
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• 2005

In this paper, we propose a new phantom protection method for multi-dimensional index structures that uses multi-level grid technique. The proposed mechanism is independent of the types of multi-dimensional index structures, i.e., it can be applied to all types of index structures such as tree-based, file-based and hash-based index structures. Also, it achieves low development cost and high concurrency with low lock overhead. It is shown through various experiments that the proposed method outperforms existing phantom protection methods for multi-dimensional index structures.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.47 no.12
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• pp.61-68
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• 2010

In this paper, we investigate the performance of ARQ-aided Time Switched Transmit Diversity (ARQ-TSTD) applying the multi-level control signaling in the WCDMA LCR-TDD system. Proposed ARQ-TSTD system applies the multi-level control signaling scheme in which the receiver sends the response signal (ACK or NACK signal) to the transmitter and defines NACK2 signal for multi-level control. Transmitter utilize the NACK2 control signal to the postponement of transmission and multi-user scheduling scheme proposed by this paper. Simulation results demonstrate that the proposed postponement of transmission and multi-user scheduling scheme yield about 1.3dB, 1.4dB performance gain respectively, compared with the conventional ARQ-TSTD with antenna switching scheme in tenn of the frame error rate (FER) for mobile speed of 3km/h and FER value of 10%. In addition, 14% and 11.5% of throughput gain respectively is shown when Eb/N0=-3dB.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.246-246
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• 2023

Multi-purpose dams are operated accounting for both physical and socioeconomic factors. This study aims to evaluate the utility of a deep learning algorithm-based model for three multi-purpose dam operation (Seomjin River dam, Juam dam, and Juam Control dam) in Seomjin River. In this study, the Gated Recurrent Unit (GRU) algorithm is applied to predict hourly water level of the dam reservoirs over 2002-2021. The hyper-parameters are optimized by the Bayesian optimization algorithm to enhance the prediction skill of the GRU model. The GRU models are set by the following cases: single dam input - single dam output (S-S), multi-dam input - single dam output (M-S), and multi-dam input - multi-dam output (M-M). Results show that the S-S cases with the local dam information have the highest accuracy above 0.8 of NSE. Results from the M-S and M-M model cases confirm that upstream dam information can bring important information for downstream dam operation prediction. The S-S models are simulated with altered outflows (-40% to +40%) to generate the simulated water level of the dam reservoir as alternative dam operational scenarios. The alternative S-S model simulations show physically inconsistent results, indicating that our deep learning algorithm-based model is not explainable for multi-purpose dam operation patterns. To better understand this limitation, we further analyze the relationship between observed water level and outflow of each dam. Results show that complexity in outflow-water level relationship causes the limited predictability of the GRU algorithm-based model. This study highlights the importance of socioeconomic factors from hidden multi-purpose dam operation processes on not only physical processes-based modeling but also aritificial intelligence modeling.

• Journal of Preventive Medicine and Public Health
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• v.55 no.2
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• pp.153-163
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• 2022

Objectives: This study divided the factors that affect participation in health screenings into individual, household, and regional levels and conducted a multi-level analysis to identify the factors related to participation in health screenings. Methods: Participants from the 2017 Community Health Survey were classified into 2 groups (under 40 and 40 or older). A multi-level logistic regression analysis was conducted to identify the factors that affected participation in health screenings. Results: The screening rate of the participants was 69.7%, and it was higher among participants aged 40 and older (80.3%) than it was among participants younger than 40 (49.8%). At the individual level, the factors that influenced participation in health screenings included age, economic activity, smoking status, physician-diagnosed hypertension, and a moderate or high physical activity level. At the household level, the odds ratio of participation in health screenings was high for participants who lived in single-person households, lived with a spouse, earned a high monthly household income, and were not beneficiaries of national basic livelihood security. At the regional level, the odds ratio at the 95% confidence interval level of participation in health screenings was high for participants who had trust in the local community and lived in an area with a proportionally high social welfare budget. Conclusions: This study analyzed nationalwide data and confirmed that individual, household, and regional characteristics affected participation in health screenings. Therefore, policies that prioritize the improvement of regional level factors and especially household level factors are likely to be the most effective for improving the screening rate.

• International Journal of Contents
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• v.12 no.1
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• pp.49-53
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• 2016

"Hahoe Village" in Andong region is an UNESCO World Heritage Site. It should be protected against various disasters such as fire, flooding, earthquake, etc. Among these disasters, flooding has drastic impact on the lives and properties in a wide area. Since "Hahoe Village" is adjacent to Nakdong River, it is important to monitor the water level near the village. In this paper, we developed a hydrological modelling using multi-layer perceptron (MLP) to predict the water level of Nakdong River near "Hahoe Village". To develop the prediction model, error back-propagation (EBP) algorithm was used to train the MLP with water level data near the village and rainfall data at the upper reaches of the village. After training with data in 2012 and 2013, we verified the prediction performance of MLP with untrained data in 2014.

• 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.

• Proceedings of the KIPE Conference
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• 2006.06a
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• pp.53-55
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• 2006

In this paper discusses winding methode of single phase AC-DC reversible power converter The reversible power converter driven by multi Tap winding at both side switching control. It has a advantage that simple drive of main switching device. and obtain load current of good quality without filter circuit and free from noise or isolation for lower switching frequency. In this research, study on current type converter and inverter circuit that consist for possibility of AC-DC/DC-AC multi-level reversible converter.

• Proceedings of the KIPE Conference
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• 2005.07a
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• pp.655-658
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• 2005

In this paper, we proposed the electric circuit using one common arm of H-Bridge Inverters to reduce the number of switching component in multi-level inverter combined with H-Bridge Inverters and Transformers. and furthermore we suggested the new multi-level PWU inverter using PWM level to reduce THD(Total Harmonic Distortion). and we used the switching method that can be same rate of usage at each transformer. Also, we tested the proposed prototype 9-level inverter to clarify the proposed electric circuit and reasonableness of control signal for the proposed multi-level PWM inverter.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2005.11a
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• pp.269-272
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• 2005

The purpose of this study is to analyze the relation between the dwelling location and the satisfaction level, and suggest a proposal to increase the quality of the livability space. A first of this study began from public surveys conducted to gather the information of satisfaction level from 4 multi-family housing sites in Gwang-ju. The plan was to the characteristics of the LS(livability space). The poll and the observation investigation was run concurrently. The cross analysis and the frequency analysis were used to analyze the data from the questionnaires. The validity of fixed quantitative index was got through the correlation analysis between the result of former analysis and index of livability space. The result said that the dwelling location have relations with the satisfaction level. In the conclusion, this will be a suggestion of the methods to enhance equal-quality of the livability space.