• Proceedings of the Korea Electromagnetic Engineering Society Conference
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• 2005.11a
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• pp.163-168
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• 2005

Attenuation in vegetation is important, for both terrestrial and earth-space systems. However, the wide range of conditions and types of foliage makes it difficult to develop a generalized prediction procedure. Currently, there is also a lack of suitably prediction model and measured experimental data for vegetation loss. So in this paper, vegetation loss data for four different tree-species, including Dawn-redwood tree, Plane tree, Pine tree and Fir tree are obtained by measurement in the frequency range of 1.0 $\sim$ 6.0 GHz. The through or scattered component is calculated using a model based upon the theory of RET(Radiative Energy Transfer) and RET modeling parameters are extracted from the measured data.

• Atmosphere
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• v.20 no.4
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• pp.437-449
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• 2010

The relocation effect of observation station (REOS) on the homogeneity of seasonal mean of maximum and minimum temperature, diurnal temperature range (DTR) and relative humidity (RH) was investigated using surface observation data and document file. Twelve stations were selected among the 60 stations which have been operated more than 30 years and relocated over one time. The data from Chunpungryeong station were used as a reference to separate the impacts of station relocation from the effects caused by increased green house gases, urbanization, and others. The REOS was calculated as a difference between REOS of relocated station and REOS of reference station. Although the REOS is clearly dependent on season, meteorological elements, and observing stations, statistically significant impacts are found in many stations, especially the environment of observing station after relocation is greatly changed. As a result, homogeneity of seasonal mean of meteorological elements, especially DTR and RH, is greatly reduced. The results showed that the effect of REOS, along with the effect of urbanization, should be eliminated for the proper estimation of climate change from the analysis of long-term observation data.

• Journal of the Korean Society of Physical Medicine
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• v.13 no.3
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• pp.113-120
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• 2018

PURPOSE: This study was conducted to investigate the characteristics of a specific functional shoe in terms of the range of motion (ROM) of ankle and foot joints during walking when compared to a standardized shoe. METHODS: Kinematic ROM data pertaining to ankle, tarsometatarsal, and metatarsophalangeal joints were collected from twenty-six healthy individuals during walking using a ten-camera motion analysis system. Kinematic ROM of each joint in three planes was obtained over ten walking trials consisting of two different shoe conditions. Visual3D motion analysis was finally used to coordinate the kinematic data. All kinematic ROM data were interpolated using a cubic spline algorithm and low-pass filtered with a cutoff frequency of 6 Hz for smoothing. RESULTS: The overall ROM of the ankle joint in the sagittal and coronal planes when wearing the specific functional shoe was significantly decreased in both ankles during walking when compared to wearing a standard shoe (p<.05). Significantly more flexibility was observed when wearing the specific functional shoe in the tarsometatarsal and metatarsophalangeal joints compared to a standard shoe (p<.05). CONCLUSION: Although clinical application of the specific functional shoe has shown clear positive effects on knee and ankle moments, the results of this study provide important background information regarding the kinematic mechanisms of these effects.

• Journal of Korean Biological Nursing Science
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• v.14 no.4
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• pp.300-307
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• 2012

Purpose: The purpose of this research was to develop and prove the effectiveness of structured arm exercise, which was used to reduce Arteriovenous Fistula (AVF) and Arteriovenous graft (AVG) stricture of hemodialysis patients. Methods: Quasi-experimental research design with non-equivalent control group was applied. 26 Subjects were participated in this study. 12 of hemodialysis patients who do not have a normal range of Static Intra Access Pressure Vein (SIAPV) score in the last three months were assigned to the experimental group and 14 patients who have a normal range of SIAPV score in the last three months to the control group. To analyze the collecting data after structured arm exercise, non parametric method with the repeated measures ANOVA by the Friedman test and Wilcoxon Signed Ranks Test for post-hoc test was performed. Results: Unlike the experimental group after three months, the control group's SIAPV data went over the normal range. The experimental AVF group showed a difference in data after month 2 and month 3. - In AVG group, there were clear differences in each month of the test. Conclusion: This study proved that structured arm exercise therapy could be a simple and effective intervention. It is suggested to be actively utilized for hemodialysis patients.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2001.05a
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• pp.265-268
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• 2001

In this paper, we designed one-dimensional VLSI array with high speed processing in Fractal image compression. fractal image compression algorithm partitions the original image into domain blocks and range blocks then compresses data using the self similarity of blocks. The image is partitioned into domain block with 50% overlapping. Domain block is reduced by averaging the original image to size of range block. VLSI array is trying to search the best matching between a range block and a large amount of domain blocks. Adjacent domain blocks are overlapped, so we can improve of each block's processing speed using the reuse of the overlapped data. In our experiment, proposed VLSI array has about 25% speed up by adding the least register, MUX, and DEMUX to the PE.

• The Korean Journal of Rehabilitation Nursing
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• v.17 no.2
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• pp.97-103
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• 2014

Purpose: This study was conducted to identify the knowledge, attitude, and preventive health behavior of cancer in middle-aged men and to provide data for education program regarding cancer prevention. Methods: This study was a descriptive research using a questionnaire, which included 20 items for knowledge, 10 items for attitude, and 18 items for preventive health behavior of cancer. Data were collected from 140 middle-aged men. Descriptive statistics, t-test, one-way ANOVA and Pearson's correlation coefficients, and stepwise multiple regression analysis were used with SPSS/WIN 18.0 to analyze the data. Results: The mean score for knowledge of cancer was 11.58 (range 0~20), for attitude, 37.52 (range 5~50), and for preventive health behavior of cancer, 58.85 (range 18~90). Preventive health behavior of cancer showed a significantly positive correlation with knowledge (r=.27, p=.001) and attitude (r=.31, p<.001) toward cancer. In stepwise multiple regression analysis, knowledge and attitude toward cancer were significant factors affecting preventive health behavior of cancer. Those variables explained 12.5% of cancer preventive behavior. Conclusion: In order to develop a cancer prevention education program for middle-aged men, accurate knowledge and improving attitude should be considered. Furthermore, it is necessary to do further study with a larger random sample according to lifespan.

• The Research Journal of the Costume Culture
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• v.8 no.5
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• pp.741-753
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• 2000

The purpose of this study : 1. The total 24 range measurements of active dynamic motion of 40 subjects(20's and 30's, and 40's∼60's) using previous studies. The results were compared with the other studies in the aspects of age. In this study, The 3-D motion analysis system consists of VICON 140, data acquisition system, and data analysis program called by KRISSMAS. VICON 140 is dynamic motion analyzer, and KRISSMAS is a program developed for analysis of the data captured from the VICON. The results of this study were as follows : 1. Comparing 20's∼30's and 40's∼60's the result shows that 40's∼60's have smaller ROM at the most joints(Thoratic and Lumber, Hip Joint, Knee Joint, Ankle Joint), which is inconsistent with the previous result. The reason is that most investigations were carried out using traditional measurement equipments, which have encountered difficulty in quantifying the exact motion of the body. 2. There are no significant mean difference between the right and the left side. Most of the significances were not high(〉0.05).

• Journal of Korean Academy of Nursing
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• v.13 no.3
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• pp.51-60
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• 1983

Currently changing trends of child health care is demand total health assessment of child including growth and development. This study concentrates on the growth & developmental status of low birth weight infant for help their growth & development. Thus it can be provide a direction for scientific health education and counseling materials by investigating factor of growth & development. The subjects for this study were made up of 40 low birth weight infant who attended the well baby clinic of E university Hospital. The study method used was a questionnaire ＆ anthropometric assessment and DDST for normative data of development. The period for data collection was from July 1st to August 31th, 1982. Analysis of the data was done using percentages, $\chi$$^2$-test Stepwise Multiple Regression. The results of study were as follows. 1. The mean weight of birth was 2,068gm and mean of gestational period was 35.65 weeks. 2. The age at which weight ; 32.5%, head circumference : 67,5% chest circumference : 55.0%, height : 50. 0％ was normal range of physical growth. 3. The reverse age at which social development ; 87.5%, fine motor & adaptive development ; 70.0%, gross motor development ; 72.5% of children Passed by DDST to determine of normal range of development. 4. In the among variables, it was found that the infant who were the higher emotional & verbal response of mother and stimulus environment was the more normal range of weight & development than who was not. 5. The stepwise Multiple Regression between developmental status and predictors-birth order, weight at birth, sex, antenatal care, gestational period-are accounts for 34.1%.

• Bulletin of the Korean Chemical Society
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• v.15 no.8
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• pp.616-622
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• 1994

The oxidation of carbon monoxide by gaseous oxygen in the presence of a powdered $Nd_{1-x}Sr_xCoO_{3-y}$ solid solution as a catalyst has been investigated in the temperature range from 150$^{\circ}$C to 300$^{\circ}$C under various CO and $O_2$ partial pressures. The site of Sr substitution, nonstoichiometry, structure, and microstructure were studied by means of powder X-ray diffraction and infrared spectroscopy. The electrical conductivity of the solid solution has been measured at 300$^{\circ}$C under various CO and $O_2$ partial pressures. The oxidation rates have been correlated with 1.5-and 1.2-order kinetics with and without a $CO_2$ trap, respectively; first-and 0.7 order with respect to CO and 0.5-order to $O_2$. For the above reaction temperature range, the activation energy is in the range from 0.25 to 0.35 eV/mol. From the infrared spectroscopic, conductivity and kinetic data, CO appears essentially to be adsorbed on the lattice oxygens of the catalyst, while $O_2$ adsorbs as ions on the oxygen vacancies formed by Sr substitution. The oxygen vacancy mechanism of the CO oxidation and the main defect of $Nd_{1-x}Sr_xCoO_{3-y}$ solid solution are supported and suggested from the agreement between IR data, conductivities, and kinetic data.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2011.11a
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• pp.20-27
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• 2011

A system for fine-resolution long-range weather forecast is introduced in this study. The system is basically consisted of a global-scale coupled general circulation model (CGCM) and Weather Research and Forecast (WRF) regional model. The system makes use of a data assimilation method in order to reduce the initial shock or drift that occurs at the beginning of coupling due to imbalance between model dynamics and observed initial condition. The long-range predictions are produced in the system based on a non-linear ensemble method. At the same time, the model bias are eliminated by estimating the difference between hindcast model climate and observation. In this research, the predictability of the forecast system is studied, and it is illustrated that the system can be effectively used for the high resolution long-term weather prediction. Also, using the system, fine-resolution climatological data has been produced with high degree of accuracy. It is proved that the production of agrometeorological variables that are not intensively observed are also possible.