• Journal of Climate Change Research
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• v.7 no.3
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• pp.289-297
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• 2016

In this study, we researched the emission source category and it was calculated emissions estimates from existing research or literature review related to port. In addition, we have created the basis for a policy that can reduce greenhouse gas emissions calculation based on the results of the harbor. Greenhouse gas emissions estimation results, we proposed a method for allocating the GIS space. In this study, we confirmed based on the calculated greenhouse gas emissions by sources resulting in the GIS Map Port result of the expression construct for space allocation. Based on these results, it tries to provide the basic data that can be used when you want to create a local government measures to reduce scenario in the future.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.1
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• pp.61-68
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• 2019

In addition to non-meteorological echoes, meteorological echoes with large scattering effects, such as precipitation, cause errors in wind data measured by wind profiler. In the rainfall situation, the Doppler spectrum of wind profiler shows both the rainfall signal and the atmospheric signal as two peaks. The vertical radial velocity is very large due to the falling rain drop. The radial velocity contaminated by rainfall decreases the accuracy of the horizontal wind vector and leads to inaccurate weather analysis. In this study, we developed an algorithm to process raw data of wind profiler and distinguished rainfall signal and wind signal by partitioning bimodal peak for Doppler spectrum in rainfall environment.

• Journal of Environmental Science International
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• v.28 no.1
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• pp.125-135
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• 2019

For the purposes of enhancing usability of Numerical Weather Prediction (NWP), the quantitative precipitation prediction scheme by machine learning has been proposed. In this study, heavy rainfall was corrected for by utilizing rainfall predictors from LENS and Radar from 2017 to 2018, as well as machine learning tools LightGBM and XGBoost. The results were analyzed using Mean Absolute Error (MAE), Normalized Peak Error (NPE), and Peak Timing Error (PTE) for rainfall corrected through machine learning. Machine learning results (i.e. using LightGBM and XGBoost) showed improvements in the overall correction of rainfall and maximum rainfall compared to LENS. For example, the MAE of case 5 was found to be 24.252 using LENS, 11.564 using LightGBM, and 11.693 using XGBoost, showing excellent error improvement in machine learning results. This rainfall correction technique can provide hydrologically meaningful rainfall information such as predictions of flooding. Future research on the interpretation of various hydrologic processes using machine learning is necessary.

• The Journal of the Korea Contents Association
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• v.6 no.12
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• pp.278-286
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• 2006

The purpose of this study was to investigate factors of film aesthetics, a core of creative power for works, and reference indicators to establish the successful model for works by analyzing Mise-en-scene through case works focused on domestic digital 3D short snimation that has developed consistently in recent years. As to the frame of analysis for Mise-en-scene, this study applied to the concept of triple articulation under discussion in U. Eco's film semiotics, but each factor is semes, figures, and cinemorphes. The case works were focused on by a film director Park Se Jong who was nominated for the Academy Award in 2005, and secured its objectivity.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.3
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• pp.77-84
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• 2016

In 2012, total GHG emissions in transport sector reached 88 Million ton CO2eq. The emissions generated in the road accounted for 94% of the transport sector. Currently, there are many efforts to operate an education and campaign for eco-driving. However study for eco-friendly vehicle control considering road alignment is limited. Therefore, the purpose of this study is to address fuel-efficient driving strategy in horizontal curve section. To fulfill the goal, designed ideal freeway horizontal curve road follows regulations about road structure. And safety speed is calculated for considering vehicle's safety on horizontal curve road. Authors composed the acceleration and deceleration scenario for each horizontal curve section and generated the speed profiles that are limited by the safety speed. Speed profiles are converted into force that horizontal curve affect to fuel consumption. Then, we calculated fuel consumption using Comprehensive Modal Emission Model. Then, we developed eco-driving strategy by selecting most fuel-efficient scenario. To validate this strategy, we selected study site and compared fuel consumption for eco and manual driving. As the result, fuel consumption when driver used eco-driving was lessened by 20.73% than that of manual driving.

• Journal of the Korean Society for Nondestructive Testing
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• v.23 no.5
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• pp.464-474
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• 2003

Ultrasonic imaging of 3-D structures for nondestructive evaluation must provide readily recognizable images with enough details to clearly show various flaws that may or may not be present. Typical flaws that need to be detected are miniature cracks, for instance, in metal pipes having aged over years of operation in nuclear power plants; and these sub-millimeter cracks or flaws must be depicted in the final 3-D image for a meaningful evaluation. As a step towards improving conspicuity and thus detection of flaws, we propose a pulse-echo ultrasonic imaging technique to generate various 3-D views of the 3-D object under evaluation through strategic scanning and processing of the pulse-echo data. We employ a 2-D Wiener filter that filters the pulse-echo data along the plane orthogonal to the beam propagation so that ultrasonic beams can be sharpened. This three-dimensional processing and display coupled with 3-D manipulation capabilities by which users are able to pan and rotate the 3-D structure improve conspicuity of flaws. Providing such manipulation operations allow a clear depiction of the size and the location of various flaws in 3-D.

• Investigative Magnetic Resonance Imaging
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• v.11 no.2
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• pp.87-94
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• 2007

Purpose: The purpose of this study was to evaluate the usefulness of fast inversion recovery (FIR) and magnetization-prepared three dimensional gradient echo sequence (3D GRE) T1-weighted sequences for neonatal brain imaging compared with spin echo (SE) sequence in a 3T MR unit. Materials and Methods: T1-weighted axial SE, FIR and 3D GRE sequences were evaluated from 3T brain MR imaging in 20 neonates. The signal-to-noise ratio (SNR) of different tissues was measured and contrast-to-noise ratios (CNR) were determined and compared in each of the sequences. Visual analysis was carried out by grading gray-white matter differentiation, myelination, and artifacts. The Wilcoxon signed ranked test was used for evaluation of the statistical significance of CNR differences between the sequences. Results: Among the three sequences, the 3D GRE had the best SNRs. CNRs obtained with FIR and 3D GRE were statistically superior to those obtained with SE; these CNRs were better on the 3D GRE compared to the FIR. Gray to white matter differentiation and myelination were better delineated on the FIR and 3D GRE than the SE. However, motion artifacts were more commonly observed on the 3D GRE and flow-related artifacts of vessels were frequently seen on the FIR. Conclusion: FIR and 3D GRE are valuable alternative T1-weighted sequences to conventional SE imaging of the neonatal brain at 3T providing superior image quality.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.9
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• pp.827-840
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• 2016

In recent years, our society, because of the arrival of a new paradigm according to the rapid changes in ICT has entered into future smart society and the ubiquitous era. So it can be a notable turning point in the city disaster prevention system with big data, aspects of the era change. Therefore, this study was to derive a desirable vision for the big data city disaster prevention informatization in terms of ICT city disaster prevention system development as preparedness for the city disaster by applying 'scenario planning' as a foresight method. Soon this study derived a successful city disaster prevention informatization strategy as preparedness for the city disaster, for example, in terms of water pollution and disaster prevention of Busan Ecodeltacity. It proposed the big data city disaster prevention informatization system with the use of the administrative aspects of information with spatial informatization as big data information. Also this study explored the future leadership strategy of the big data city disaster prevention informatization in smart society and smart eco-city. Eventually in 2030 to around, in order to still remain our city disaster prevention informatization as a leading ICT nation, this study suggested the following strategy. It is important to ready the advanced ubiquitous administrative spatial informatization and ICT disaster prevention system with big data in terms of water pollution and disaster prevention of Busan Ecodeltacity.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.347-354
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• 2014

Korea Central Cancer Registry reported in 2011 that the prevalence rate of thyroid cancer was about 19.6% (the highest) in both men and women. The ratio of thyroid cancer, among cancers that women suffer from, was about 31.1%, the highest among female cancers and about five times more than men. Regarding the incidence of thyroid cancer by age group, the crude rate was highest in women and men aged 15~34. From these figures it can be inferred that there is a greater relationship between thyroid cancer and hormones compared with other cancers. Therefore, young women aged 20~25, even if they are in full health, should undergo a medical examination. This study is aimed at examining changes in thyroid gland detected through self evaluation tests and the analysis of ultrasound screening images in persons aged 20~25. According to the study, 213 persons (about 46.6%) out of 457 people who took part in the study had abnormal echo patterns. With regard to women's abnormal patterns, about 73.4% of them were found to have calcified cystic, 11.8% diffuse-type low-echo and 7.3% cystic echo. With regard to male participants, about 61.1% were found to have calcified cystic, followed by 19.4% with the size of the isthmus increased and 13.9% with diffuse-type low-echo. According to the outcomes of an analysis regarding self-testing for hyperthyroidism, the average points of participants who were found to have abnormal echo patterns in ultrasound tests were 6.85 and the figure was 5.88 in persons with normal patterns. The figure was about 15% higher in abnormal respondents.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.31 no.4
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• pp.251-257
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• 2013

Bathymetry sounding or water depth measurement is becoming more and more sophisticated with the increasing demand in accuracy, resolution and coverage in the recent years. Single beam echo sounding is still utilized to gather single line bathymetric profile in many surveys as ever, although there is an increasing demand for multi-beam echo sounding. Single beam echo sounder system acquires single line profiles of water depth as the vessel travel along the survey line. In this study, we performed single beam echo sounding with GNSS receiver for hydrographic survey at Namgang dam basin to calculate pure sediment. Unlike traditional research, we used not field reference station but NTRIP service of the reference station of DGNSS(Differential Global Navigation Satellite System) Central Office in this GNSS survey. The calculation results show that scouring volume is $603,650m^3$, sediment volume is $3,913,750m^3$ and so pure sediment volume is $3,310,100m^3$ at Namgang dam basin. And the availability of the NTRIP service of the DGNSS Central Office for echo sounding in land area has been confirmed in this study.