• Journal of the Korean earth science society
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• v.38 no.7
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• pp.511-521
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• 2017

This study analyzes Two-dimensional video disdrometer (2DVD) data while summer 2011-2012 in Daegu region and compares with Marshall and Palmer (MP) distribution to find out statistical characteristics and characteristics variability about drop size distribution (DSD) of Daegu region. As the characterize DSD of Daegu region, this study uses single moment parameters such as rainfall intensity (R), reflectivity factor (Z) and double moment parameters such as generalized characteristics number concentration ($N{_0}^{\prime}$) and generalized characteristics diameter ($D{_m}^{\prime}$). Also, this study makes an assumption that DSD function can be expressed as general gamma distribution. The results of analysis show that DSD of Daegu region has ${\log}_{10}N{_0}^{\prime}=2.37$, $D{_m}^{\prime}=1.04mm$, and c =2.37, ${\mu}=0.39$ on average. When the assumption of MP distribution is used, these figures then end up with the different characteristics; ${\log}_{10}N{_0}^{\prime}=2.27$, $D{_m}^{\prime}=0.9mm$, c =1, ${\mu}=1$ on average. The differences indicate liquid water content (LWC) of Daegu distribution is generally larger than MP distribution at equal Z. Second, DSD shape of Daegu distribution is concave upward. Other important facts are the characteristics of Daegu distribution change when Z changes. DSD shape of Daegu region changes concave downward (c =2.05~2.55, ${\mu}=0.33{\sim}0.77$) to cubic function-like shape (c =3.0, ${\mu}=-0.13{\sim}-0.33$) at Z > 45 dBZ. 35 dBZ ${\leq}$ Z > 45 dBZ group of Daegu distribution has characteristics similar to maritime cluster of diverse climate DSD study. However, Z > 45 dBZ group of Daegu distribution has a difference from the cluster.

• Proceedings of the Korean Society of Medical Physics Conference
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• 2003.09a
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• pp.47-47
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• 2003

Abstract: RF Birdcage Resonator는 높은 자장 균질성과 신호 대 잡음비의 특성이 좋음으로 인해 MRI와 MRS 연구에 보편적으로 사용되고 있다. 본 연구는 인체를 비롯한 동물실험을 위한 다양한 실험대상에 따라 코일의 크기를 예측하여 Birdcage Resonator를 개발하였다. Unloaded와 Loaded 상태에서의 전기적인 성향을 Lumped Element Circuit Theory를 따라 일반적인 분석을 하였을 뿐 아니라 실제적인 실험을 통한 분석도 하였다. Introduction: Birdcage Resonator 는 자장 균일성이 뛰어나고 신호대잡음비가 좋아 Magnetic Resonance Imaging과 Spectroscopy에 유용하게 사용되어지고 있다. 이 연구에서는 실험대상에 따른 여러 가지의 Birdcage Resonator를 개발하기 위해 Lumped Element Circuit Theory를 사용한 일반적인 이론적 방법론을 이용하여 코일을 분석하였을 뿐 아니라 실제 제작한 후 실험을 통한 실질적인 영상분석도 병행하여 진행하였다. Method: 실질적인 개발에 앞서 Lumped Element Circuit Theory를 통해 이론적인 분석으로부터 나온 여러 parameter들을 정리하였다. 제작 후 실험적인 분석은 Network Analyzer (HP 4195A, 미국)를 통한 1차적인 분석을 한 후 최종적으로 3T MRI 장비 (메디너스, 한국)에서 수행하였다. 제작된 Birdcage Resonator의 종류는 기본적으로 Low-Pass Filter를 적용한 12-column 구조이다. 각각의 직경과 element의 길이는 다음과 같다. 1) 직경 13cm, element의 길이 22cm, 2) 직경 15cm, element의 길이 22cm, 3) 직경 17 cm, element의 길이 25cm. Result and Discussion: 여러 parameter들을 이론적으로 계산하여 실제 Birdcage Resonator를 제작하여 실험적인 분석을 한 결과 많은 차이가 있음을 알 수 있었다. 그 이유는 이론적인 계산에서는 생각되지 않았던 요인들이 실제 제작에 있어서는 많은 영향을 미쳤기 때문인 것이다. Network Analyzer를 통한 1차적인 분석 후에도 실제의 Magnet Field내에서 또 다시 차이가 나는 것 또한 같은 이유에서이다. 그러므로 Birdcage Resonator 제작에 있어서 이러한 여러 요인들을 충분히 고려하여야 할 것이다. Acknowledgement: 본 연구는 2002 년도 한국과학재단 목적기초연구사업 (과제번호 : R0l-2002-000-00294-0 (2002) 지원아래 수행되었다.

• Journal of the Korean earth science society
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• v.40 no.3
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• pp.227-239
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• 2019

Heavy snowfall events frequently occur in the Gangwon province, and the snowfall amount significantly varies in space due to the complex terrain and topographical modulation of precipitation. Understanding the spatial characteristics of heavy snowfall and its prediction is particularly challenging during snowfall events in the easterly winds. The easterly wind produces a significantly different atmospheric condition. Hence, it brings different precipitation characteristics. In this study, we have investigated the microphysical characteristics of snowfall in the windward and leeward sides of the Taebaek mountain range in the easterly condition. The two snowfall events are selected in the easterly, and the snow particles size distributions (SSD) are observed in the four sites (two windward and two leeward sites) by the PARSIVEL distrometers. We compared the characteristic parameters of SSDs that come from leeward sites to that of windward sites. The results show that SSDs of windward sites have a relatively wide distribution with many small snow particles compared to those of leeward sites. This characteristic is clearly shown by the larger characteristic number concentration and characteristic diameter in the windward sites. Snowfall rate and ice water content of windward also are larger than those of leeward sites. The results indicate that a new generation of snowfall particles is dominant in the windward sites which is likely due to the orographic lifting. In addition, the windward sites show heavy aggregation particles by nearby zero ground temperature that is likely driven by the wet and warm condition near the ocean.

• Journal of the Korean Society for Railway
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• v.15 no.5
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• pp.476-484
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• 2012

In this study, a mid-size RC test apparatus equipped with analyzing program is developed that can test samples up to D=10cm diameter and H=20cm height which is larger than usual samples of D=5cm and H=10cm used mostly in practice. Thus, crushed stones with larger grains up to 38mm in diameter used mostly in Korea as reinforced trackbed materials in track construction could be considered effectively than conventionally used RC apparatus for evaluation of the dynamic properties of the materials by using the newly developed RC apparatus. The RC test apparatus was designed and assembled based on the concept of fixed-free fixity conditions and driving mechanism proposed by Stokoe. Using the developed RC test apparatus, three types of representative crushed reinforced trackbed materials were tested in order to get the dynamic properties of the materials such as $G/G_{max}$ reduction curves and damping ratio D. For comparison purpose, a small RC test apparatus has been used to test the same materials.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.4
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• pp.504-510
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• 2009

Recently, personalized-adaptive services became the center of interest in the world. However the services about music are not widely diffused out. That is because the analyzing of music information is more difficult than analyzing of text information. In this paper, we propose a music recommendation system which provides personalized services. The system keeps a user's listening list and analyzes it to select pieces of music similar to the user's preference. For analysis, the system extracts properties from the sound wave of music and the time when the user listens to music. Based on the properties, a piece of music is mapped into a point in the property space and the time is converted into the weight of the point. At this time, if we select and analyze the group which is selected by user frequently, we can understand user's taste. However, it is not easy to predict how many groups are formed. To solve this problem, we apply the K-means clustering algorithm to the weighted points. We modified the K-means algorithm so that the number of clusters is dynamically changed. This manner limits a diameter so that we can apply this algorithm effectively when we know the range of data. By this algorithm we can find the center of each group and recommend the similar music with the group. We also consider the time when music is released. When recommending, the system selects pieces of music which is close to and released contemporarily with the user's preference. We perform experiments with one hundred pieces of music. The result shows that our proposed algorithm is effective.