• Journal of Digital Convergence
• /
• v.14 no.5
• /
• pp.333-339
• /
• 2016

Technology to optimize and utilize the use and supply of the electric power between consumer and supplier has been on the rise among the smart grid power market network in electric power demand management based on the Internet. Open Automated Demand Response system protocol, which can deliver Demand Response needed in electric power demand management to electricity supplier, system supplier and even the user is openADR 2.0b. This paper used the most credible, cosmopolitanly proliferated EPRI open source and analysed the variety of security vulnerability that developed VEN and VTN system may have. Using the simulator for attacking openADR protocol, the VEN/VTN system that has been implemented as EPRI open source was conducted to attack in a variety of ways. As a result of the analysis, we were able to get the results that the VEN/VTN system has security vulnerabilities to the parameter tampering attacks and service flow falsification attack. In conclusion, if you want to implement the openADR2.0b protocol system in the open or two-way communication environment smart grid network, considering a variety of security vulnerability should be sure to seek security technology and services.

• Clean Technology
• /
• v.25 no.4
• /
• pp.283-288
• /
• 2019

Monodisperse microparticles has been particularly enabling for various applications in the encapsulation and delivery of pharmaceutical agents. The microfluidic devices are attractive candidates to produce highly uniform droplets that serve as templates to form monodisperse microparticles. The microfluidic devices that have micro-scale channel allow precise control of the balance between surface tension and viscous forces in two-phase flows. One of its essential abilities is to generate highly monodisperse droplets. In this paper, a microfluidic approach for preparing monodisperse polycaprolactone (PCL) microparticles is presented. The microfluidic devices that have a flow-focusing generator are manufactured by soft-lithography using polydimethylsiloxane (PDMS). The crucial factors in the droplet generation are the controllability of size and monodispersity of the microdroplets. For this, the volumetric flow rates of the dispersed phase of oil solution and the continuous phase of water to generate monodisperse droplets are optimized. As a result, the optimal flow condition for droplet dripping region that is able to generate uniform droplet is found. Furthermore, the droplets containing PCL polymer by solvent evaporation after collection of droplet from device is solidified to generate the microparticle. The particle size can be controlled by tuning the flow rate and the size of the microchannel. The monodispersity of the PCL particles is measured by a coefficient of variation (CV) below 5%.

• Journal of the Korean Geotechnical Society
• /
• v.35 no.11
• /
• pp.121-129
• /
• 2019

An Earthquake Early Warning (EEW) system is a technology that alerts people to an incoming earthquake by using P waves that are detected before the arrival of more severe seismic waves. P-wave analysis is therefore an important factor in the production of rapid seismic information as it can be used to quickly estimate the earthquake magnitude and epicenter through the amplitude and predominant period of the observed P-wave. However, when a large-magnitude teleseismic earthquake is observed in a local seismic network, the significantly attenuated P wave phases may be mischaracterized as belonging to a small-magnitude local earthquake in the initial analysis stage. Such a misanalysis may be sent to the public as a false alert, reducing the credibility of the EEW system and potentially causing economic losses for infrastructure and industrial facilities. Therefore, it is necessary to develop methods that reduce misanalysis. In this study, the possibility of seismic misclassifying teleseimic earthquakes as local events was reviewed using the Filter Bank method, which uses the attenuation characteristics of P waves to classify local and outside Korean peninsula (regional and teleseismic) events with filtered waveform depending on frequency and epicenter distance. The data used in our analysis were analyzed for maximum P_v values using 463 events with local magnitudes (2 < M_L ≦ 3), 44 (3 < M_L ≦ 4), 4 (4 < M_L ≦ 5), 3 (M_L > 5), and 89 outside Korean peninsula earthquakes recorded by the KMA seismic network. The results show that local and telesesimic earthquakes can be classified more accurately when combination of filtering bands of No. 3 (6-12 Hz) and No. 6 (0.75-1.5 Hz) is applied.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.12 no.3
• /
• pp.1270-1277
• /
• 2011

Since the pharmaceutical industry is a research oriented sector, the research and development capability based on the qualified R&D manpower is one of the key success factors to strengthen the national competitiveness. Securing the appropriate number of researcher needed for the research activities in these fields is an important precondition for a government policy that aims for a strongly knowledge-intensive the pharmaceutical industry growth. In this study, we conducted and analyzed a delphi survey of the experts(the principal investigators) with expertise in these pharmaceutical research areas. The current and future requirements for the pharmaceutical science research personnel including medical doctors have been evaluated, extending the year 2017. The results of this study can be summarized as follows; First, in 2007 the field of pharmaceutical R&D personnel is currently under-supplied as many as about 5,600 people. The rate of under-supplied is about 18.1%. Second, in 2017 the evaluation shows that the R&D personnel in this field will be more severely under-supplied as many as 13,500 people. The rate of under-supplied will be about 28.6%. As a result, the confrontation of demand and supply evaluation shows that, in general, severe shortages of R&D manpower in the field of pharmaceutical will result if there are not adequate manpower policy adjustment.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.3
• /
• pp.309-316
• /
• 2018

Purpose: This study was conducted to identify the prevalence and related factors of metabolic syndrome in Korean adolescents. Method: Based on data from the Korea National Health and Nutrition Examination Survey of 2015, 404 adolescents aged 12-18 years were enrolled. We used the adolescent Ford method as the diagnostic criteria for adolescent metabolic syndrome. The data were analyzed using descriptive statistics, t-test, $x^2$-test, and logistic regression with SPSS WINDOW 23.0 program. Results: The prevalence of metabolic syndrome in Korean adolescents was 6.5% (6.5% for boys and 6.4% for girls). Among metabolic syndrome components, the prevalence of elevated blood pressure (28.8%) was the highest, followed by elevated triglycerides (21.3%), increased waist circumference (14.1%), decreased high density lipoprotein-cholesterol (11.5%), and elevated fasting blood sugar (7.8%). The only factor associated with metabolic syndrome in both boys and girls was the Body Mass Index (BMI), and the likelihood of a metabolic syndrome increased by 1.6 to 2.3 times (Adjusted OR=1.552 to 2.313, p=0.001) as the BMI increased. Conclusion: Based on the results of this study, an intervention program should be developed and provided to maintain the BMI in the normal range for the prevention and management of metabolic syndrome in Korean adolescents.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.11
• /
• pp.672-682
• /
• 2020

The Korea Nowadays, which is research on digital twin technology for efficient operation in various industrial/manufacturing sites, is being actively conducted, and gradual depletion of fossil fuels and environmental pollution issues require new renewable/eco-friendly power generation methods, such as wave power plants. In wave power generation, however, which generates electricity from the energy of waves, it is very important to understand and predict the amount of power generation and operational efficiency factors, such as breakdown, because these are closely related by wave energy with high variability. Therefore, it is necessary to derive a meaningful correlation between highly volatile data, such as wave height data and sensor data in an oscillating water column (OWC) chamber. Secondly, the methodological study, which can predict the desired information, should be conducted by learning the prediction situation with the extracted data based on the derived correlation. This study designed a workflow-based training model using a machine learning framework to predict the pressure of the OWC. In addition, the validity of the pressure prediction analysis was verified through a verification and evaluation dataset using an IoT sensor data to enable smart operation and maintenance with the digital twin of the wave generation system.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.10
• /
• pp.24-30
• /
• 2018

As the demand for underground space increases, many researchers have been studying the load reduction method using high compressible materials to solve for the stability problem of the overhead load and for the increase of the earth pressure which decreases the function of the underground structure. This paper determines the optimum soft zone and the effect of the using EPS Geofoam as a load reduction material to arch structures. A finite element analysis program, ABAQUS, is used to analyze the soil-structure interaction and the behavior of buried arch structures considering different four EPS Geofoam forms to confirm the most conservative shape. The optimum cross-sectional shape was determined by comparing the results of earth pressure reduction rate in accordance with the change of span-rise ratio and span length of the arch structure. It was confirmed that the earth pressure generated in the arch structure using the optimal soft zone selected by the numerical analysis was reduced by an average of 78%. In this study, the effect of EPS Geofoam on soil pressure reduction and its applicability to underground arch structures will provide an economical and conservative way to design underground structures and will help to increase the usability of deep underground space.

• Journal of the Korean Applied Science and Technology
• /
• v.35 no.1
• /
• pp.122-130
• /
• 2018

The purpose of this study was to identify the nursing college students' problem solving ability, nurses' image and leadership and compare problem solving ability, nurses' amage and leadership after management clinical practice. A descriptive survey design was used 60 nursing students who 4th grade, during August 2014. Data were analyzed using mean, t-test, ANOVA with SPSS 21.0. The highest area was 'get a gob' in application motivation, 'from nurse during clinical training' in most influencing events. Satisfaction with nursing as major was 83.4% above 'moderate'. There were significant mean differences in nurses' image according to having relation nurse and satisfaction with nursing as major, leadership according to application motivation and satisfaction with nursing as major and personality, problem solving ability according to having relation nurse and personality. The subject scored 3.32 points of full 5 on problem solving ability, 3.41 of full 5 on nurses' image and 3.62 of full 5 on leadership before management clinical practice. Scores for problem solving ability(t=-2.15, p=.03), nurses' image(t=-2.67, p=.01) and leadership(t=-2.20, p=.03) showed statistically significant increases after management practice. The result should be reflected in the development of effective teaching for management clinical practice.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.7
• /
• pp.548-553
• /
• 2017

The aim of this study was to develop a low impact development design technique that can be applied in the land use planning stage and verify quantitatively the effects of non-point pollution reduction. For this purpose, the low impact development design elements that can be applied in the land use planning stage were derived and applied to an actual site, and the non-point pollution reduction effect was analyzed using the LIDMOD2 program. The analysis showed that the permeability rate of the land use plan using low impact development decreased by 19.8% compared to the existing land use plan. In addition, annual surface runoff decreased by 19.0% and annual infiltration increased by 164.1%. In the case of non-point pollution, the annual loading, T-N, T-P, and BOD decreased by 18.7 ~ 22.8%. Therefore, compared to the existing land use plan, the land use plan using low impact development has a considerably large effect of reducing the non-point pollution without changing the floor area according to each application. Therefore, to maximize the reduction effect of non-point pollution, it will be necessary to establish a related plan by applying the low impact development technique from the land use planning stage to the existing LID facility-oriented plan.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.1
• /
• pp.506-516
• /
• 2018

This study was conducted to identify pain intensity and factors affecting pain intensity in patients with advanced cancer. Data were collected between June 1 and September 30, 2016 using a questionnaire. The sample size was 221 patients with advanced cancer who were admitted to the oncology department or who visited the outpatient of the general hospital. Data were evaluated by descriptive and Pearson's correlation analyses, one way ANOVA, t-tests and stepwise multiple regression analysis. The mean scores of pain intensity of cancer patients were 4.23 (${\pm}1.68$) based on the average daily pain intensity. Factors influencing pain intensity were illness perception (${\beta}=.27$, p<.001), pain opioid analgesics beliefs (${\beta}=.24$, p<.001), education (middle school, ${\beta}=.24$, p=.001), economic status (${\geq_-}400$, ${\beta}=.20$, p=.001), gender (female, ${\beta}=.14$, p=.017), pain management education (${\beta}=-.14$ p=.020) and diagnosis (Pancreatic Ca, ${\beta}=.14$, p=.020). It explained 28%. Overall, the results of this study revealed that illness perception and pain opioid analgesics beliefs were important factors influencing pain intensity, but that the most important influencing factor was illness perception. Accordingly, it is necessary to develop pain management strategies that include not only pain management knowledge and pain opioid analgesics beliefs, but also illness perception.