• Land and Housing Review
• /
• v.10 no.4
• /
• pp.51-59
• /
• 2019

The government is encouraging the notice of obligatory reclaimed asphalt as a result of the economic and social positioning of green growth to reduce the amount of waste resources and to solve natural resource problems by recycling continuously generated waste resources. However, it is necessary to develop application guideline for each application to apply reclaimed asphalt to the site because quality control of the reclaimed asphalt is difficult and the specifications are ambiguous as well. Therefore, in this study, the mix design, quality test, performance test, and finite element analysis about reclaimed Asphalt Pavement were conducted to develop application guideline for reclaimed hot asphalt. The mix design was carried out for the comparative general hot mix asphalt mixture, the reclaimed hot mix asphalt mixture using the additive, and the reclaimed hot mix asphalt mixture without the additive. Indirect tensile strength and tensile strength ratio tests were used to characterize the reclaimed hot mix asphalt mixture. Using the results of dynamic modulus test and FWD test for KPRP analysis and finite element analysis, the performance life was evaluated for general pavement and pavement using recycled aggregate. Finally, the life cycle cost analysis was used to compare and analyze the economics of reclaimed asphalt concrete pavement.

• Journal of the Korean Applied Science and Technology
• /
• v.37 no.1
• /
• pp.76-82
• /
• 2020

Big data analysis in healthcare research seems to be a necessary strategy for the convergence of sports science and technology in the era of the Fourth Industrial Revolution. The purpose of this study is to provide the basic review to secure the diversity of big data and healthcare convergence by discussing the concept, analysis method, and application examples of big data and by exploring the application. Text mining, data mining, opinion mining, process mining, cluster analysis, and social network analysis is currently used. Identifying high-risk factor for a certain condition, determining specific health determinants for diseases, monitoring bio signals, predicting diseases, providing training and treatments, and analyzing healthcare measurements would be possible via big data analysis. As a further work, the big data characteristics provide very appropriate basis to use promising software platforms for development of applications that can handle big data in healthcare and even more in sports science.

• Women's Health Nursing
• /
• v.25 no.3
• /
• pp.258-272
• /
• 2019

Purpose: The purpose of this study was to identify nursing interventions for the postpartum breast care of mothers and determine the effectiveness of interventions for breast pain and engorgement by systematic review. Methods: Eight national and international databases were reviewed to retrieve and collect randomized controlled trial and controlled clinical trial literature published up to March 2015. Two reviewers independently selected the studies and performed data abstraction and validation. The risk of bias was assessed using Cochrane criteria. A meta-analysis of the studies was performed to analyze the data. Results: The meta-analysis showed that breast massage, along with routine breast care, resulted in a 3.52-point reduction in pain on a 10-point visual analogue scale. Meta-analysis of therapy with cold cabbage leaves and routine breast care showed a pain reduction of 0.54 points. Meta-analysis of cold cabbage leaf application in the experimental group versus cold compress therapy in the comparison group showed a pain reduction of 0.44 points. Meta-analysis of cold cabbage leaf application and routine breast care showed an engorgement reduction of 0.67 points. Conclusion: The results of the analysis of 12 articles showed that hot and cold compresses, breast massage, and cabbage application were effective for postpartum breast pain and engorgement.

• Nuclear Engineering and Technology
• /
• v.56 no.5
• /
• pp.1762-1776
• /
• 2024

A spent nuclear fuel (SNF) analysis module for the Vodo-Vodyanoi Energetichesky Reactor (VVER) was developed and validated in this study. This advancement expands the application area of the existing nodal diffusion code, RAST-V, and reduces the need for additional code during 3D core simulations for SNF analysis, leading to increased efficiency in simulation time. RAST-V uses Lagrange interpolation and a power correction factor derived from the Bateman equation to bypass the re-depletion calculations, which are used to solve the microdepletion chain. This approach improved the efficiency of analysis. To mirror the conditions during the 3D core simulations, the module used history indices related to the moderator temperature, fuel temperature, and boron concentration. The module can predict 1620 isotopes. This paper presents the validation of this isotope inventory prediction and the application of burnup credit. The VVER analysis module was validated using 28 samples discharged from the Novovoronezh-4. Most isotopes were within 10 % of the boundaries of the measurements. This study successfully offers verification results using VVER benchmarks and discusses the application of burnup credit using a VVER-440 cask.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.7 no.5
• /
• pp.961-966
• /
• 2012

In this paper, we analyze a main patent positioning to analyze data based on patent application as stage of data collection to organize knowledge map of LED through patent application. We also analyze the present condition of patent application for technology sector. We propose basic data to make knowledge map through the analysis of technical distribution for applicant by each country.

• Proceedings of the KSRS Conference
• /
• 2004.10a
• /
• pp.515-517
• /
• 2004

Although sustainable development of a city should in theory be based on updated spatial information like land cover/use changes, in practice there are no effective tools to get such information. However the development of satellite and sensor technologies has increased the supply of high resolution satellite data, allowing cost-effective, multi-temporal monitoring. Especially KOMPSAT-1(KOrea Multi-Purpose SATellite) acquired a large number of images of the whole Korean peninsula and covering some large cities a number of times. In this study land-use patterns and trends of Daejeon from the year 2000 to the year 2003 will be considered using land use maps which are generated by manual interpretation of multi-temporal KOMPSAT EOC imagery and to show the possibility of using high resolution satellite remote sensing data for urban analysis.

• Journal of the Korean Institute of Rural Architecture
• /
• v.1 no.3
• /
• pp.53-64
• /
• 1999

This is designed to find out the relations between traditional dwelling and its ecological concepts and factors in the natural environment. This also reveals how to design the dwelling under the full consideration of eco-system and its application possibility. Now, I have a conclusion that Modern architecture application would be possible if we design buildings under full-consideration of ecological environmental elements, inheriting the characteristics of the typical architecture items through more detailed and further advanced studies in traditional architecture methods.

• KIEAE Journal
• /
• v.2 no.1
• /
• pp.63-68
• /
• 2002

Solar sunlighting systems are useful to apply for most buildings. This study aims to analysis the development and architectural application of solar sunlighting systems. For the purpose, abroad developing situation of solar sunlighting systems were investigated and analyzed literally. And, by case studies, architectural application methods are analyzed. As results, light pipe systems are mainly used for small building and houses. Also solar mirror systems are used for atrium and underground spaces. Lens-fiber systems are applied for high rise buildings and office buildings which internally have no influx of sunlighting. Some application suggestion in our country are discussed.

• International journal of advanced smart convergence
• /
• v.12 no.4
• /
• pp.177-181
• /
• 2023

User reviews posted in the application market show high relevance with the satisfaction of application users and its significance has been proven from numerous studies. User reviews are also crucial data as they are essential for improving applications after its release. However, as infinite amounts of user reviews are posted per day, application developers are unable to examine every user review and address them. Simply addressing the reviews in a chronological order will not be enough for an adequate user satisfaction given the limited resources of the developers. As such, the following research suggests a systematical method of analyzing user reviews with a cost-benefit analysis, in which the benefit of each user review is quantified based on the number of positive/negative words and the cost of each user review is quantified by using function point, a technique that measures software size.

• Journal of Electrical Engineering and Technology
• /
• v.1 no.2
• /
• pp.145-152
• /
• 2006

This paper presents a windows application for voltage sag analysis and effective data visualization. The developed Voltage Sag Analysis Tool (VSAT) was designed by using the Object-Oriented Programming (OOP) concept and C++ programming language. The VSAT provides basic functions for voltage sag analysis such as power flow analysis, short circuit analysis and stochastic analysis. In particular, the VSAT provides effective data visualization through computer graphics and animation. Analysis results are expressed realistically and intuitively on geographical display. The Graphic User Interface (GUI) of VSAT was designed specifically for voltage sag analysis. In this paper, the development and implementation of VSAT is presented. In order to demonstrate the capabilities of VSAT, it is used to analyze the Jeju Island power system in South Korea.