• Journal of Physiology & Pathology in Korean Medicine
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• v.21 no.2
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• pp.571-577
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• 2007

The purpose of this study was to investigate the relationship between the pain and the weather. One hundred ninety three patients treated for pain were recruited for this study. All subjects completed a 8-item weather and pain questionnaire to find out whether the pain are related to change in the weather, Of all subjects, 126 patients(65.3%) believed that change in the weather affected their pain. Of theses 126 patients, 85 patients(67.5%) reported that their pain was affected before weather changes, 44 patients(34.9%) stated that their pain was affected during weather changes. Damp/Rainy(n=91, 72.2%) and cold(n=60, 47.6%) conditions were mostly considered to have influence on pain. Of all subjects, 125 patients(64.8%) believed that change in the weather affected their mood. In the female group, a tendency to have pain or mood sensitivity to change in the weather was significantly higher than the male group(p=0.006, p=0.003) In the non-religious group, a tendency to have pain or mood sensitivity to change in the weather was significantly higher than the religious group(p=0.006, p=0.004). Of the pain sensitive group to change in the weather, 97 patients(77.0%) reported that they also have mood sensitivity to change in the weather(p=0.000). In the pain or mood sensitive group to change in the weather, their pain intensity(VAS) was significantly higher than the other group(p=0.000, p=0.021). The results of this survey give support to the idea that most patients with pain believe that weather has an important impact on their pain. Further investigations are needed to identify the mechanisms involved in the effects of weather changes on pain.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.53 no.6
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• pp.358-363
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• 2004

Due to the weather sensitivity of the power load, it is difficult to forecast accurately the peak power load of summer season. We improve the accuracy of the load forecasting considering weather condition. We introduced the sensitivity of temperature and proposed an improved forecasting algorithm. The proposed algorithm shows that the error of the load forecasting is 1.5%.

• Atmosphere
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• v.29 no.2
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• pp.197-211
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• 2019

The observational sensitivity of dual-polarization weather radar was quantitatively analyzed by using two different pulse widths. For this purpose, test radar scan strategy which consisted of consecutive radar scan using long (LP: $2{\mu}s$) and short (SP: $1{\mu}s$) pulses at the same elevation angle was employed. The test scan strategy was conducted at three operational S-band dual-polarization radars (KSN, JNI, and GSN) of Korea Meteorological Administration (KMA). First, the minimum detectable reflectivity (MDR) was analyzed as a function of range using large data set of reflectivity ($Z_H$) obtained from JNI and GSN radars. The MDR of LP was as much as 7~22 dB smaller than that of SP. The LP could measure $Z_H$ greater than 0 dBZ within the maximum observational range of 240 km. Secondly, polarimetric observations and the spatial extent of radar echo between two pulses were compared. The cross-polar correlation coefficient (${\rho}_{hv}$) from LP was greater than that from SP at weak reflectivity (0~20 dBZ). The ratio of $Z_H$ (> 0 dBZ) and ${\rho}_{hv}$(> 0.95) bin to total bin calculated from LP were greater than those from SP (maximum 7.1% and 13.2%). Thirdly, the frequency of $Z_H$ (FOR) during three precipitation events was analyzed. The FOR of LP was greater than that of SP, and the difference in FOR between them increased with increasing range. We conclude that the use of LP can enhance the sensitivity of polarimetric observations and is more suitable for detecting weak echoes.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.357-363
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• 2021

In general, people choose clothes to wear when they go out, referring to real-time weather and temperature. However, it is difficult for an individual to use real-time weather information and his or her temperature sensitivity information to choose the right clothes from among the clothes he or she owns. Existing clothing recommendation systems developed to help with these problems have problems recommending clothes that are not clearly set in the clothing category and are not in the possession of the user. In addition, user-specific temperature sensitivity is not taken into account, resulting in inappropriate clothing recommendations for users. To solve these problems, this study developed a system that determines and registers clothing categories for the clothing owned by the user, and recommends customized clothing for each user by considering temperature sensitivity and real-time weather information. In the case of weather information, not only weather information such as temperature and wind direction, but also clothes based on temperature sensitivity were recommended based on the calculation of temperature sensitivities. A satisfaction survey of 65 university students was conducted to assess the system. As a result, 80% of the respondents were satisfied with the recommended clothing, indicating that the satisfaction of the system was good. Therefore, it is expected that this system will be highly utilized in real life as it will be recommended based on clothes owned by individuals, reflecting individual temperature sensitivity.

• Proceedings of the KSR Conference
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• 2009.05a
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• pp.746-755
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• 2009

This study will analyze the data of Kyongbu & Honam Line whether how much the weather change has an effect on the change of transportation modes and check the pattern of customer's behavior and investigate the influence on the changing transportation modes. Especially, this study will confine to the rainfall and snowfall out of various weather causes, and the questionnaire investigation is used to know the sensitivity of customer's patterns selecting transportation modes in accordance with weather change, and the research result will be used to make a marketing strategy & efficient train operation.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.142-142
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• 2022

Adjusting weather radar data is a prerequisite for its use in various hydrological studies. Effect of spatial variables are considered to adjust weather radar data in many of these researches. The existence of diverse topography in South Korea has increased the importance of analyzing these variables. In this study, some spatial variable like slope, elevation, aspect, distance from the sea, plan and profile curvature was considered. To investigate different topographic conditions, tried to use three radar station of Gwanaksan, Gwangdeoksan and Gudeoksan which are located in northwest, north and southeast of South Korea, respectively. To form the suitable fuzzy model and create the best membership functions of variables, ANFIS-PSO model was applied. After optimizing the model, the correlation coefficient and sensitivity of adjusted Quantitative Precipitation Estimation (QPE) based on spatial variables was calculated to find how variables work in adjusted QPE process. The results showed that the variable of elevation causes the most change in rainfall and consequently in the adjustment of radar data in model. Accordingly, the sensitivity ratio calculated for variables shows that with increasing rainfall duration, the effects of these variables on rainfall adjustment increase. The approach of this study, due to the simplicity and accuracy of this method, can be used to adjust the weather radar data and other required models.

• Atmosphere
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• v.26 no.1
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• pp.85-95
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• 2016

In this study, we investigated the variabilities of wind speed of 850 hPa and precipitable water over the East Asia region using the NCEP Final Analysis data from December 2001 to November 2011. A large variance of wind speed was observed in northern and eastern China during the winter period. During summer, the regions of the East China Sea, the South Sea of Japan and the East Sea show large variances in the wind speed caused by an extended North Pacific High and typhoon activities. The large variances in the wind speed in the regions are shown to be correlated with the inter-annual variability of precipitable water over the inland region of windward side of the Korean Peninsula. Based on the investigation, sensitivity tests to the domain size were performed using the WRF model version 3.6 for heavy precipitation events over the Korean Peninsula for 26 and 27 July 2011. Numerical experiments of different domain sizes were set up with 5 km horizontal and 50 levels vertical resolutions for the control and the first experimental run, and 9 km horizontal for the second experimental run. We found that the major rainfalls correspond to shortwave troughs with baroclinic structure over Northeast China and extended North Pacific High. The correlation analysis between the observation and experiments for 1-h precipitation indicated that the second experiment with the largest domain had the best performance with the correlation coefficient of 0.79 due to the synoptic-scale systems such as short-wave troughs and North Pacific High.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.11
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• pp.1900-1911
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• 2010

This study focuses on clothing as one of the most seasonal products and investigates consumer behavior related to climate change adaptation. This study addressed four objectives: (1) to identify the clothing behavior of consumers for the adaptation to climate change; (2) to identify the effects of fashion involvement and climate sensitivity on clothing attitude for the adaptation to climate change; (3) to identify the effect of clothing purchase time on climate sensitivity and clothing attitude for the adaptation to climate change; and (4) to identify the effect of consumer demographics on climate sensitivity and clothing attitude for the adaptation to climate change. A survey questionnaire was developed and implemented to collect data for measuring clothing involvement, fashion involvement, and climate sensitivity. In addition, clothing involvement, clothing assortment needs, and clothing worn for the adaptation to climate change were measured. A total of 349 responses were analyzed by t-test, ANOVA and path analysis with SPSS18.0. The results of the analysis are as follows. Changes in temperature were considered more important than changes in weather for the functional needs of clothing, purchase needs, and assortment items needs. The assortment items wearing for the adaptation to climate change varied depending on the temperature and weather. Fashion involvement directly influenced clothing assortment needs and indirectly influenced the clothing worn for the adaptation to climate change. In terms of clothing purchase time, those purchasing clothing before the season begins, tended to have a high fashion involvement and clothing attitude for the adaptation to climate change. Those in their twenties and single, tended to be more sensitive to climate change. This study also discusses the implications for merchandising strategies.

• Atmosphere
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• v.23 no.1
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• pp.23-32
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• 2013

Ensemble sensitivity has been recently proposed as a method to analyze the dynamics of severe weather events. We adopt it to investigate the physical mechanism which caused the heavy rainfall over the Korean Peninsula on 6th August 2003. Two rainfall peaks existed in this severe weather event. The selected response functions are 1 hour accumulated rainfall amount of each rainfall peak. Sensitivity fields were calculated using 36 ensemble members which were generated by WRFDA. The sensitive regions for the first rainfall peak are located over the Shandong Peninsula and the Yellow Sea at 12 hours before the first rainfall peak. However, the 12-h forecast sensitivity for the second rainfall peak is revealed near Typhoon ETAU (0310) and midlatitude trough. These results show that the first rainfall peak was induced by low pressure which located over the northern part of the Korean Peninsula while the second rainfall peak was caused by the interaction between typhoon ETAU and midlatitude trough.

• Atmosphere
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• v.23 no.4
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• pp.485-500
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• 2013

This study conducted WRF-Fire simulations in order to investigate sensitivities of the resolution of fire fuel and terrain data sets, and the surface wind to simulated fire area. The sensitivity simulations were consisted of 8 different WRF-Fire runs, each of which used different combination of data sets of fire fuel and terrain with different resolution. From the results it was turned out that the surface wind was most sensitive. The next was fire fuel and then fire terrain. Unfortunately, every run produced too much fire area. In other words no simulations succeeded in simulating such proper fire area so as for the WRF-Fire to be used realistically. It was verified that the errors of fire area from each runs were contributed by 41%, 53%, and 6% from surface wind, fire fuel, and fire terrain, respectively. Finally this study suggested that the selection of Anderson fuel category in the area of interest seemed to be very critical in the performance of WRF-Fire simulations.