• Title/Summary/Keyword: Weather types

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Feedback Control of DC-DC Converters for Solar-Cell using DSP

  • Cho, Sung-Rae;Kwak, Jae-Hyuk;Lim, Joon-Hong
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.127.3-127
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    • 2001
  • In this paper, we present a technique of feedback control for different types of DC-DC converter using single DSP To improve dynamic response due to the variation of input voltage and current from solar cell caused by weather condition, the system is modeled as a hybrid system and simulated by MATLAB. Simulation result and experimental system are also compared with analog feedback control system.

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Objective Cloud Type Classification of Meteorological Satellite Data Using Linear Discriminant Analysis (선형판별법에 의한 GMS 영상의 객관적 운형분류)

  • 서애숙;김금란
    • Korean Journal of Remote Sensing
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    • v.6 no.1
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    • pp.11-24
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    • 1990
  • This is the study about the meteorological satellite cloud image classification by objective methods. For objective cloud classification, linear discriminant analysis was tried. In the linear discriminant analysis 27 cloud characteristic parameters were retrieved from GMS infrared image data. And, linear cloud classification model was developed from major parameters and cloud type coefficients. The model was applied to GMS IR image for weather forecasting operation and cloud image was classified into 5 types such as Sc, Cu, CiT, CiM and Cb. The classification results were reasonably compared with real image.

The Study on the ${\ulcorner}$Sun Gi Il Il Bun Wi Sa Si(順氣一日分爲四時)${\lrcorner}$ of the ${\ulcorner}$Young Chu(靈樞)${\lrcorner}$ ("영추.순기일일분위사시(靈權.順氣一日分爲四時)"에 대한 연구(硏究))

  • Kim, Young-Ha;Ruk, Sang-Won
    • Journal of Korean Medical classics
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    • v.18 no.1 s.28
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    • pp.33-48
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    • 2005
  • The purpose of this study is that translates ${\ulcorner}$Sun Gi Il Il Bun Wi Sa Si${\lrcorner}$ in the ${\ulcorner}$Young Chu(靈樞)${\lrcorner}$ as a modern words because it is hard to understand which was written by classical words. We revised the original text with the 7 other classic books and classified annotations of the 6 annotated books according to the similar contents. We classified this volume by 3 chapters, and added Hangul suffixes to the original text. The Five types of changes(五變) in the second chapter is meaning to the mutual relationships among the Five viscera and Color, Time, Day, Note, Taste. The word order of contents in the second chapter must be unified follow the Color, Time, Day, Note, Tastes. The Five types of changes in the third chapter must be revise the Five types of diseases(五病) on the bases of the ${\ulcorner}$You Kyoung(類經)${\lrcorner}$.

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Classification and Analysis of Korea Coastal Flooding Using Machine Learning Algorithm (기계학습 알고리즘에 기반한 국내 해수범람 유형 분류 및 분석)

  • CHO, KEON HEE;EOM, DAE YONG;PARK, JEONG SIK;LEE, BANG HEE;CHOI, WON JIN
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.26 no.1
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    • pp.1-10
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    • 2021
  • In this study, Information for the case of seawater flooding and observation data over a period of 10 years (2009~2018) was collected. Using machine learning algorithms, the characteristics of the types of seawater flooding and observations by type were classified. Information for the case of seawater flooding was collected from the reports of the Korea Hydrographic and Oceanographic Agency (KHOA) and the Korea Land and Geospatial Informatics Corporation. Observation data for ocean and meteorological were collected from the KHOA and the Korea Meteorological Agency (KMA). The classification of seawater flooding incidence types is largely categorized into four types, and into 5 development types through combination of 4 types. These types were able to distinguish the types of seawater flooding according to the marine weather environment. The main characteristics of each was classified into the following groups: tidal movement, low pressure system, strong wind, and typhoon. Besides, in consideration of the geographical characteristics of the ocean, the thresholds of ocean factors for seawater flooding by region and type were derived.

Causal Relationships of Apparel Buying Behavior on Usage Situations and Consumer Characteristics (의복착용상황과 소비자특성에 따른 의복구매행동의 인과적 관계)

  • 박은주
    • Journal of the Korean Society of Costume
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    • v.26
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    • pp.145-162
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    • 1995
  • The purpose of this study were to investigate the conceptual framework of situational vari-ables, and to find out the causal relationships of apparel buying behavior on usage situations and consumer characteristics. Data were collected viaa questionnaire developed on the previous studies from 386 housewives living at Seoul and Pusan, and analyzed by T-test, Factor analysis, and Path analysis. Results indicated that there were significant differences of apparel buying intention on the types of apparel usage situations. The communi-cation situation was found to be composed of Printed Information and Interpersonal Infor-mation, and the buying situation to be composed of Consumer Conditions, such as weather or mood, Shopping Company, Store Atomosphere, Display, and Store Service. The product char-acteristics considered by consumers in apparel buying process were composed of Practically, Fashionability, Brand, and Approval of others. The causal relationships of apparel buying behavior were significantly different on the types of usage situations and the degree of clothing in-volvement.

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지구관측위성 현황 조사

  • Shin, Jae-Min;Kim, Hee-Seob;Kim, Eung-Hyun;Im, Jung-Heum
    • Aerospace Engineering and Technology
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    • v.2 no.1
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    • pp.63-72
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    • 2003
  • On the basis of sensor types, satellites can be classified by two types, which are optical observation satellite and radar observation satellite. A satellite type is selected according to the specific mission. Optical observation satellite is more appropriate for getting high geometric resolution images and radar observation satellite is more appropriate for getting images independent of weather condition the more a demand of satellite increases, the more an importance of information increases. Therefore, development trend and state of earth observation satellite are surveyed and described in this paper. In the future, domestic development of satellites will be planned considering trend of satellite technologies.

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Factor Analysis of Deterioration in Namhansanseong Yeojang (남한산성 여장 손상원인 분석)

  • Chung, Kwang-Yong;Lee, Sang-Ok;Yang, Hee-Jae
    • Journal of architectural history
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    • v.25 no.1
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    • pp.59-68
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    • 2016
  • There are many reasons of damage in Namhansanseong Yeojang. Lots of damage types are observed in each Yeojang. There are many types of damage factors but major damage factor is breakage by freezing and thawing. So Conduct non-destructive evaluation about damage factors in Namhansanseong Yeojang to analysis weathering factors in Yeojang by measuring directional microclimate. The study will pave the way for conservation management in Namhansanseong by suggesting the conservation calendar about weather condition and damage factors.

A Research on the Added Resistance Due to Weather at Sea (해상에서의 기상상태에 기인된 부가저항에 관한 고찰)

  • ;Townsin, R. L.
    • Journal of Ocean Engineering and Technology
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    • v.7 no.1
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    • pp.56-61
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    • 1993
  • Standard values in graphic porms are presented for the ratio of added wave resistance to the sun of added wave and wind resistances in head sea for three ship types, tanker, container ship and passenger ship. The effect of ship length on the ratio defined above is investigated for the three ship types. Obique sea added resistance is determined using wave direction reduction factor. The factor is obtained from model test results and cubic spline interpolation technique.

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Influence of Low Growing Vegetation in Reducing Stormwater Runoff on Green Roofs

  • Krishnan, Raymond;Ahmad, Hamidah
    • International Journal of High-Rise Buildings
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    • v.3 no.4
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    • pp.273-278
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    • 2014
  • Green roof's performance in reducing stormwater runoff has been reported by numerous studies. Nonetheless, the roles of low growing vegetation in influencing stormwater runoff reduction on green roofs have been greatly overlooked. This paper describes an experiment investigating the influence of low growing vegetation in the reduction of tropical stormwater runoff on extensive green roofs. Three types of locally occurring native vegetation and one non-native Sedum species were selected (fern, herb, grass and succulent) for the experiment. Stormwater runoff reduction performance from different low growing species was done by measuring excess water runoff from the simulated green roof modules. The results show significant differences in stormwater runoff reduction from different types of vegetation. Fern was the most effective in reducing stormwater runoff, followed by herb, Sedum and grass. Vegetative characters that are found to attribute towards the performance of stormwater runoff are rooting density, structure, density, leaf type, and vegetation biomass.