• Journal of Korea Water Resources Association
• /
• v.46 no.12
• /
• pp.1249-1263
• /
• 2013

In order to minimize the damages caused by long-term drought, appropriate drought management plans of the basin should be established with the drought forecasting technology. Further, in order to build reasonable adaptive measurement for future drought, the duration and severity of drought must be predicted quantitatively in advance. Thus, this study, attempts to forecast drought in Korea by using an Artificial Neural Network Model, and drought index, which are the representative statistical approach most frequently used for hydrological time series forecasting. SPI (Standardized Precipitation Index) for major weather stations in Korea, estimated using observed historical precipitation, was used as input variables to the MLP (Multi Layer Perceptron) Neural Network model. Data set from 1976 to 2000 was selected as the training period for the parameter calibration and data from 2001 to 2010 was set as the validation period for the drought forecast. The optimal model for drought forecast determined by training process was applied to drought forecast using SPI (3), SPI (6) and SPI (12) over different forecasting lead time (1 to 6 months). Drought forecast with SPI (3) shows good result only in case of 1 month forecast lead time, SPI (6) shows good accordance with observed data for 1-3 months forecast lead time and SPI (12) shows relatively good results in case of up to 1~5 months forecast lead time. The analysis of this study shows that SPI (3) can be used for only 1-month short-term drought forecast. SPI (6) and SPI (12) have advantage over long-term drought forecast for 3~5 months lead time.

• Journal of Digital Convergence
• /
• v.12 no.5
• /
• pp.13-24
• /
• 2014

This study is the first model to apply the concept of media engagement to a political campaign by which the voters' mind toward the supporting political candidates, are read. Thus it provides the theoretical and practical implications to the political campaign, and eventually contributes to the development of democracy. For these objectives, the total of 729 people who have the right to vote were telephone surveyed using the peoplemeter, CATI program in the 18th Presidential Election (12 areas including Seoul) of Dec. 19th 2012, and Re and By-election of April 24th 2013. Research question is to examine how the 5 attributes of the media engagement (interest, immersion, relevance, satisfaction and participation), play a role as the moderating variables in cross-correlation, socio-economic status and media properties. The result shows that of the five properties of media engagement, the relevant factor is the important parameter of mediating variable to the causal relationship. The media usage (TV, SNS, print media), socio-economic status (gender, age, income, marriage and area), involvement and the Presidential Election, and Re and By-election are also effective in the five attributes of media engagement. These results suggest that the a study model can measure the campaign effectiveness. This study will contribute significantly to the development of politics, election, media, advertising, and public relations area as well as to promote interdisciplinary research.

• Journal of Acupuncture Research
• /
• v.22 no.1
• /
• pp.99-108
• /
• 2005

Objective : The aim of this study is to investigate the analgesic effect and its mechanism of bee venom acupuncture on collagen-induced arthritis(CIA) rats. Methods : Bee venom (1 mg/kg) was subcutaneously punctured into Choksamni (ST36) of CIA Analgesic effect was evaluated by using the tail flick latency (TFL). Opioid and ${\alpha}2$-adrenergic neurotransmitter system were examined by naloxone as an opioid receptor antagonist and yohimbine as ${\alpha}2$-adrenoceptor antagonist prior to bee venom cupuncture. Results : The results were as follows; 1. The TFL for the CIA rat was decreased as time went by. 2. The TFL in CIA rat was increased in bee venom acupuncture group compared with control group (no treatment). 3. Analgesic effect of bee venom acupuncture was not abolished by naloxone pre-treatment in the CIA rat. 4. Analgesic effect of bee venom aqua-acupuncture was abolished by yohimbine pre-treatment in the CIA rat. 5. Two weeks bee venom acupuncture had the continous analgesic effect for 4 weeks. Conclusions : Bee venom acupuncture has an analgesic effect on the CIA rat and has an antinociception mediated by ${\alpha}2$-adrenergic system.

• Journal of Korea Water Resources Association
• /
• v.51 no.5
• /
• pp.395-404
• /
• 2018

This research evaluated the change in rainfall quantile during S1, S2, and S3 by using Representative Concentration Pathways (RCP) 4.5 climate scenario HadGEM3-RA Regional Climate Model (RCM) produced by downscaling and bias correlation compared to the past standard observation data S0. Also, the maximum flood peak volume and flood area were calculated by using the urban runoff model and the impact of climate change was analyzed in each period. For this purpose, Gumbel distribution was used as an appropriate model based on the method of maximum likelihood. As a result, in the case of the 10 year-frequency which is the design of most urban drainage facilities, the rainfall quantile is in increased about 10% if we assume 50 years from now with the $3^{rd}$ quarter value and about 20% if we assume 70 years from now. This result implies that the installed urban drainage facility based on the currently set design flood volume cannot be met the design criteria in the future. Therefore, it is necessary to reflect future climate conditions to current urban drainage facilities.

• KIPS Transactions on Software and Data Engineering
• /
• v.4 no.12
• /
• pp.549-560
• /
• 2015

There is a wide variety of data quality attributes such as the ones proposed by the ISO/IEC organization and also by many other domestic and international institutions. However, it takes considerable time and costs to apply those criteria and guidelines to real environment. Therefore, it needs to define data quality evaluation attributes which are easily applicable and are not influenced by organizational environment limitations. The purpose of this paper is to derive data quality attributes and order of their priorities based on customer requirements for managing the process systematically and evaluating the data quantitatively. This study identifies the customer cognitive constructs of data quality attributes using the RGT(Repertory Grid Technique) based on a Korean quality standard model (DQC-M). Also the correlation analysis on the identified constructs is conducted, and the evaluation attributes is prioritized and ranked using the AHP. As the results of this paper, the consistent system, the accurate data, the efficient environment, the flexible management, and the continuous improvement are derived at the first level of the data quality evaluation attributes. Also, Control Compliance(13%), Regulatory Compliance(10%), Requirement Completeness(9.6%), Accuracy(8.4%), and Traceability(6.8%) are ranked on the top 5 of the 19 attributes in the second level.

• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.29 no.6
• /
• pp.499-512
• /
• 2016

The boundary reaction method(BRM) is a substructure time domain method, it removes global iterations between frequency and time domain analyses commonly required in the hybrid approaches, so that it operates as a two-step uncoupled method. The BRM offers a two-step method as follows: (1) the calculation of boundary reaction forces in the frequency domain on an interface of linear and nonlinear regions, (2) solving the wave radiation problem subjected to the boundary reaction forces in the time domain. In the time domain analysis, the near-field soil is modeled to simulate the wave radiation problem. This paper evaluates the performance of the BRM according to modeling extent of near-field soil for the nonlinear SSI analysis of base-isolated NPP structure. For this purpose, parametric studies are performed using equivalent linear SSI problems. The accuracy of the BRM solution is evaluated by comparing the BRM solution with that of conventional SSI seismic technique. The numerical results show that the soil condition affects the modeling range of near-field soil for the BRM analysis as well as the size of the basemat. Finally, the BRM is applied for the nonlinear SSI analysis of a base-isolated NPP structure to demonstrate the accuracy and effectiveness of the method.

• Spatial Information Research
• /
• v.12 no.2
• /
• pp.165-179
• /
• 2004

With the spread of wireless internet, the interest in mobile applications and services is increasing. Korea Wireless Internet Standardization Forum has been establishing the standards for mobile platform and map service in the wireless internet environment. This study aims to present a paragon of mapping middleware that plays the role of broker for wireless internet map service: in particular, it focuses on the interoperability with generic map servers. In this study, we developed a method for applying current map servers to the wireless internet map service, and analyzed the request/response structure of the map servers which have different operation characteristics in order to allow our middleware to fully utilize the functionalities of the map servers. The middleware we developed is composed of .NET-based XML Web Services: it has a lightweight module for image map and a map representation module for choropleth map, symbol map, chart map, etc. This mapping middleware is a broker between mobile client and generic map server, and supports .NET clients and Java clients as well. Its component-based interoperability grants the extensibility for the wireless internet dedicated map servers of the future in addition to the current generic map servers.

• Geophysics and Geophysical Exploration
• /
• v.10 no.4
• /
• pp.229-240
• /
• 2007

In this study, seismic anisotropic tomography algorithm was developed for imaging the seismic velocity anisotropy of the subsurface. This algorithm includes several inversion schemes in order to make the inversion process stable and robust. First of all, the set of the inversion parameters is limited to one slowness, two ratios of slowness and one direction of the anisotropy symmetric axis. The ranges of the inversion parameters are localized by the pseudobeta transform to obtain the reasonable inversion results and the inversion constraints are controlled efficiently by ACB(Active Constraint Balancing) method. Especially, the inversion using the Fresnel volume is applied to the anisotropic tomography and it can make the anisotropic tomography more stable than ray tomography as it widens the propagation angle coverage. The algorithm of anisotropic tomography is verified through the numerical experiments. And, it is applied to the real field data measured at limestone region and the results are discussed with the drill log and geological survey data. The anisotropic tomography algorithm will be able to provide the useful tool to evaluate and understand the geological structure of the subsurface more reasonably with the anisotropic characteristics.

• The Korea Journal of Herbology
• /
• v.35 no.4
• /
• pp.51-60
• /
• 2020

Objective : The objective of this study was to demonstrate the effect of Persicae Semen (PS) in DNCB-induced atopic dermatitis mouse and HaCaT cell. Methods : The BALB/c mice were divided into four groups. To develop atopic dermatitis, 200 ㎕ of 1 and 0.5% DNCB solution was put on the back of mice in the Control group, the PS-Low group and the PS-High group once a day. After application of DNCB, 200 ㎕ of the PS extract was also treated. The Normal group was given PBS. The mice dorsal skin was stained with Masson's trichrome, H&E, and toluidine blue to evaluate the thickness of the epidermis and dermis, infiltration of eosinophils and mast cells respectively. ELISA was applied to measure the serum level of IgE and IL-6. Toxicity of PS was measured by MTS assay in HaCaT cell. To investigate the effects of PS on HaCaT cells, cells were pre-treated with PS for 1h, and then stimulated with TNF-α and IFN-γ. After 24 hours, the expression of TARC was analyzed using RT-PCR. Results : PS not only significantly diminished the thickness of the epidermis and dermis, but also reduced the infiltration of eosinophil and mast cell in skin lesion. PS also reduced the serum IgE and IL-6 level which plated important roles in the atopic dermatitis. The expression of TARC was decreased significantly in TNF-α/IFN-γ stimulated HaCaT cell. Conclusion : These results suggest that PS may be effective in alleviating the atopic dermatitis induced by DNCB and inflammation by TNF-α/IFN-γ.

• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.25 no.4
• /
• pp.315-321
• /
• 2012

In this study, a sequential multiscale homogenization method to characterize the effective thermal conductivity of nano particulate polymer nanocomposites is proposed through a molecular dynamics(MD) simulations and a finite element-based homogenization method. The thermal conductivity of the nanocomposites embedding different-sized nanoparticles at a fixed volume fraction of 5.8% are obtained from MD simulations. Due to the Kapitza thermal resistance, the thermal conductivity of the nanocomposites decreases as the size of the embedded nanoparticle decreases. In order to describe the nanoparticle size effect using the homogenization method with accuracy, the Kapitza interface in which the temperature discontinuity condition appears and the effective interphase zone formed by highly densified matrix polymer are modeled as independent phases that constitutes the nanocomposites microstructure, thus, the overall nanocomposites domain is modeled as a four-phase structure consists of the nanoparticle, Kapitza interface, effective interphase, and polymer matrix. The thermal conductivity of the effective interphase is inversely predicted from the thermal conductivity of the nanocomposites through the multiscale homogenization method, then, exponentially fitted to a function of the particle radius. Using the multiscale homogenization method, the thermal conductivities of the nanocomposites at various particle radii and volume fractions are obtained, and parametric studies are conducted to examine the effect of the effective interphase on the overall thermal conductivity of the nanocomposites.