• Korean journal of communication and information
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• v.42
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• pp.168-204
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• 2008

According to the spiral of silence theory, perception of opinion climates influences willingness to express one's opinion. This study examines the relationship between opinion perception and opinion expression in different regions and issues. The results show that one's opinion and the intensity of opinion affect the expression of opinion about national and regional issues in Busan and Gwangju. People who perceive their opinions as majority are more willing to express theirs about national and regional issues in Gwangju, but not in Busan. Regression analyses show that perceived public opinion does not predict the expression of opinion in both cities. People who perceive their opinions more favorable about regional issue have lower intention to express their opinions than people who perceive their opinions same as others'. In summary, one's opinion and perception bias about controversial issues are important variables influencing expression of opinion, and the influence of perceived public opinion on opinion expression varies in different regions with different distribution of public opinion. This study found 'new hardcores' who perceive their own opinion as minor but more valuable and have the intention to speak out in places more difficult to express.

• Proceedings of the Korean Vacuum Society Conference
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• 2011.08a
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• pp.392-392
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• 2011

Carbon nanotubes (CNT) emitter has widely become an attractive mechanism that draws growing interests for cold cathode field emission.$^{1,2}$ CNT yarns have demonstrated its potential as excellent field emitters.$^3$ Extensive simulations were carried out in designing a CNT yarn-based cathode assembly. The focal spot size dependence on the anode surface of the geometric parameters such as axial distance of the electrostatic focus lens from the cathode and the applied bias voltages at the cathode, grid mesh and electrostatic focus lens were studied. The detailed computer simulations using Opera 3D electromagnetic software$^4$ had revealed that a remarkable size of focal spot under a focusing lens triode type set-up design was achieved. The result of this optimization simulation would then be applied for the construction of the CNT yarn based micro-focus x-ray tube with its field emission characteristics evaluated.

• Korean Journal of Child Studies
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• v.28 no.4
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• pp.277-287
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• 2007

Antagonism between the Youngnam and Honam regions of Korea as expressed by adolescents and their parents was studied in 167 parent-adolescent pairs (total 334) of Youngnam residents. Adolescents were middle school students 71 (42.5%) and high school students 96 (57.5%), 90 boys (53.9%), 77 girls (46.1%). The instruments were subjects' self-reported social distance and stereotypes. Data were analyzed by t-test, paired t-test, Pearson's Correlation, and hierarchical regression. Major findings were that : (1) adolescents' social distance was positively associated with adolescent and parent negative stereotypes. (2) Adolescent positive/negative stereotypes were positively associated with parent positive/negative stereotypes. (3) Adolescent negative stereotypes exerted an indirect effect on social distance, controlled by parents' negative stereotypes.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.188-188
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• 2017

Rainfall is an important input to hydrological models. The accuracy of hydrological studies for water resources and floods management depend primarily on the estimation of rainfall. Thailand is among the countries that have regularly affected by floods. Flood forecasting and warning are necessary to prevent or mitigate loss and damage. Merging near real time satellite-based precipitation estimation with relatively high spatial and temporal resolutions to ground gauged precipitation data could contribute to reducing uncertainty and increasing efficiency for flood forecasting application. This study tested the applicability of satellite-based rainfall for water resources management and flood forecasting. The objectives of the study are to assess uncertainty associated with satellite-based rainfall estimation, to perform bias correction for satellite-based rainfall products, and to evaluate the performance of the bias-corrected rainfall data for the prediction of flood events. This study was conducted using a case study of Thai catchments including the Chao Phraya, northeastern (Chi and Mun catchments), and the eastern catchments for the period of 2006-2015. Data used in the study included daily rainfall from ground gauges, telegauges, and near real time satellite-based rainfall products from TRMM, GSMaP and PERSIANN CCS. Uncertainty in satellite-based precipitation estimation was assessed using a set of indicators describing the capability to detect rainfall event and efficiency to capture rainfall pattern and amount. The results suggested that TRMM, GSMaP and PERSIANN CCS are potentially able to improve flood forecast especially after the process of bias correction. Recommendations for further study include extending the scope of the study from regional to national level, testing the model at finer spatial and temporal resolutions and assessing other bias correction methods.

• The Journal of Churna Manual Medicine for Spine and Nerves
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• v.16 no.2
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• pp.1-8
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• 2021

Objectives This study aimed to evaluate the effect of chuna manual therapy (CMT) for postpartum low back pain using a systematic review. Methods We performed a literature search using 12 electronic databases up to the end of September 2021. We included randomized controlled trials (RCTs) that evaluated the effect of CMT in the treatment of postpartum low back pain. The risk of bias was evaluated using the Cochrane risk-of-bias tool. Results Four randomized controlled trials were reported statistically significant effect in pain VAS, ODI and JOA of chuna manual therapy compared with moxibution, electro acupuncture, hyperthermia or usual care. As a result of assessing the risk of bias tool, most of the contents of the evaluation items were not identified, so it was evaluated as an uncertain risk. Conclusions CMT may be effective in treating postpartum low back pain. However, evidence was limited due to the small sample size, lack of well-designed RCTs and regional bias. Further well-designed studies are required to obtain stronger evidence.

• Journal of Labour Economics
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• v.33 no.2
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• pp.53-89
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• 2010

Curricula relevant to labor market needs are often designed with the goals of individual employment and regional development at the forefront. This study provided information on regional scope by investigating the extent and determinants of the geographic mobility of vocational high school graduates and the effects of that mobility on first-job wage rates. Geographic mobility was defined as being employed in other provinces in which vocational schools were located. About 38% of graduates were employed in other provinces. Geographic mobility was positively related to gender and human capital such as health, course of study, vocational certificate, and job training. Mobility led to higher wage rates even after controlling for sample selection bias. The implication is that vocational high school curricula which focus excessively on provincial concerns may weaken a workforce's effectiveness.

• Journal of the Economic Geographical Society of Korea
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• v.22 no.1
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• pp.84-95
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• 2019

The competence of SME's technological innovation is deemed as one of the crucial factors in national and regional economies. Yet, as seen in previous studies, there is a dearth of studies on this subject, and policy and academic circles had been inclined to relatively underestimate the contribution of the SMEs to economies and industries (such as, job creation and GDP contribution). Generally, there is a bias that the innovative activity of the large-sized firm is likely to perform better than that of the small-sized company. According to several case studies, however, SME possesses a more appropriate form for innovative activities, and significantly contributes to creating advanced industrial agglomeration. Hence, this study analyses the contribution of the SME innovation to the national and regional economy along with analysing the extant literature. In doing so, we can reason out theoretical and policy implications.

• Atmosphere
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• v.31 no.4
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• pp.395-404
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• 2021

In order to investigate downslope windstorm by using more detailed observation, we observed 6 cases at 3 sites - Inje, Yongpyeong, and Bukgangneung - during "3-D Meteorological Observation Project in Yeongdong region of Gangwon province, South Korea in 2020." The results from analysis of the project data were as follows. First, AWS data showed that a subsidence inversion layer appeared in 800~700 hPa on the windward side and 900~850 hPa on the leeward side. Second, before strong wind occurred, the inversion layer had descended to about 880~800 hPa. Third, with mountain wave breaking, downslope wind was intensified at the height of 2~3 km above sea level. After the downslope wind began to descend, the subsidence inversion layer developed. When the subsidence inversion layer got close to the ground, wind peak occurred. In general, UM (Unified Model) GDAPS (Global Data Assimilation Prediction System) have had negative bias in wind speed around peak area of Taebaek mountain range, and positive bias in that of East Sea coast area. The stronger wind blew, the larger the gap between observed and predicted wind speed by GDAPS became. GDAPS predicted strong p-velocity at 0600 LST 25 Apr 2020 (4^th case) and weak p-velocity at 2100 LST 01 Jun 2020 (6^th case) on the lee-side of Taebaek mountain range near Yangyang. As hydraulic jump theory was proved, which is known as a mechanism of downslope windstorm in Yeongdong region, it was confirmed that there is a relationship between p-velocity of lee-side and wind speed of eastern slope of Taebaek mountain range.

• Journal of IKEEE
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• v.27 no.3
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• pp.251-257
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• 2023

In this paper, we propose a dual-structured self-attention method that improves the lack of regional features of the vision transformer's self-attention. Vision Transformers, which are more computationally efficient than convolutional neural networks in object classification, object segmentation, and video image recognition, lack the ability to extract regional features relatively. To solve this problem, many studies are conducted based on Windows or Shift Windows, but these methods weaken the advantages of self-attention-based transformers by increasing computational complexity using multiple levels of encoders. This paper proposes a dual-structure self-attention using self-attention and neighborhood network to improve locality inductive bias compared to the existing method. The neighborhood network for extracting local context information provides a much simpler computational complexity than the window structure. CIFAR-10 and CIFAR-100 were used to compare the performance of the proposed dual-structure self-attention transformer and the existing transformer, and the experiment showed improvements of 0.63% and 1.57% in Top-1 accuracy, respectively.

• KCID journal
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• v.19 no.1
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• pp.87-96
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• 2012

Information of local solar radiation is essential for many field, including water resources management, crop yield estimation, crop growth model, solar energy systems and irrigation and drainage design. Unfortunately, solar radiation measurements are not easily available due to the cost and maintenance and calibration requirements of the measuring equipment and station. Therefore, it is important to elaborate methods to estimate the solar radiation based on readily available meteorological data. In this study, two empirical equations are employed to estimate daily solar radiation using Cheongju Regional Meteorological Office data. Two scenarios are considered: (a) sunshine duration data are available for a given location, or (b) only daily cloudiness index records exist. Simple linear regression with daily sunshine duration and cloudiness index as the dependent variable accounted for 91% and 80%, respectively of the variation of solar radiation(H) at 2011. Daily global solar radiation is highly correlated with sunshine duration. In order to indicate the performance of the models, the statistical test methods of the mean bias error(MBE), root mean square error(RMSE) and correlation coefficient(r) are used. Sunshine duration and cloudiness index can be easily and reliably measured and data are widely available.