• Korean Journal of Remote Sensing
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• v.40 no.4
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• pp.351-361
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• 2024

Satellite imagery contains various elements such as clouds, cloud shadows, and terrain shadows. Accurately identifying and eliminating these factors that complicate satellite image analysis is essential for maintaining the reliability of remote sensing imagery. For this reason, satellites such as Landsat-8, Sentinel-2, and Compact Advanced Satellite 500-1 (CAS500-1) provide Usable Data Masks(UDMs)with images as part of their Analysis Ready Data (ARD) product. Precise detection of clouds and their shadows is crucial for the accurate construction of these UDMs. Existing cloud and their shadow detection methods are categorized into threshold-based methods and Artificial Intelligence (AI)-based methods. Recently, AI-based methods, particularly deep learning networks, have been preferred due to their advantage in handling large datasets. This study aims to analyze the applicability of constructing UDMs for high-resolution satellite images through deep learning-based cloud and their shadow detection using open-source datasets. To validate the performance of the deep learning network, we compared the detection results generated by the network with pre-existing UDMs from Landsat-8, Sentinel-2, and CAS500-1 satellite images. The results demonstrated that high accuracy in the detection outcomes produced by the deep learning network. Additionally, we applied the network to detect cloud and their shadow in KOMPSAT-3/3A images, which do not provide UDMs. The experiment confirmed that the deep learning network effectively detected cloud and their shadow in high-resolution satellite images. Through this, we could demonstrate the applicability that UDM data for high-resolution satellite imagery can be constructed using the deep learning network.

• Korean Journal of Remote Sensing
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• v.40 no.4
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• pp.387-396
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• 2024

Most very high-resolution (VHR) satellite images provide rational polynomial coefficients (RPC) data to facilitate the transformation between ground coordinates and image coordinates. However, initial RPC often contains geometric errors, necessitating correction through matching with ground control points (GCPs). A GCP chip is a small image patch extracted from an orthorectified image together with height information of the center point, which can be directly used for geometric correction. Many studies have focused on area-based matching methods to accurately align GCP chips with VHR satellite images. In cases with seasonal differences or changed areas, edge-based algorithms are often used for matching due to the difficulty of relying solely on pixel values. However, traditional edge extraction algorithms,such as canny edge detectors, require appropriate threshold settings tailored to the spectral characteristics of satellite images. Therefore, this study utilizes deep learning-based edge information that is insensitive to the regional characteristics of satellite images for matching. Specifically,we use a pretrained pixel difference network (PiDiNet) to generate the edge maps for both satellite images and GCP chips. These edge maps are then used as input for normalized cross-correlation (NCC) and relative edge cross-correlation (RECC) to identify the peak points with the highest correlation between the two edge maps. To remove mismatched pairs and thus obtain the bias-compensated RPC, we iteratively apply the data snooping. Finally, we compare the results qualitatively and quantitatively with those obtained from traditional NCC and RECC methods. The PiDiNet network approach achieved high matching accuracy with root mean square error (RMSE) values ranging from 0.3 to 0.9 pixels. However, the PiDiNet-generated edges were thicker compared to those from the canny method, leading to slightly lower registration accuracy in some images. Nevertheless, PiDiNet consistently produced characteristic edge information, allowing for successful matching even in challenging regions. This study demonstrates that improving the robustness of edge-based registration methods can facilitate effective registration across diverse regions.

• Korean Circulation Journal
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• v.52 no.6
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• pp.460-474
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• 2022

Background and Objectives: This study aimed to investigate the association between cardiovascular events and 2 different levels of elevated on-treatment diastolic blood pressures (DBP) in the presence of achieved systolic blood pressure targets (SBP). Methods: A nation-wide population-based cohort study comprised 237,592 patients with hypertension treated. The primary endpoint was a composite of cardiovascular death, myocardial infarction, and stroke. Elevated DBP was defined according to the Seventh Report of Joint National Committee (JNC7; SBP <140 mmHg, DBP ≥90 mmHg) or to the 2017 American College of Cardiology/American Heart Association (ACC/AHA) definitions (SBP <130 mmHg, DBP ≥80 mmHg). Results: During a median follow-up of 9 years, elevated on-treatment DBP by the JNC7 definition was associated with an increased risk of the occurrence of primary endpoint compared with achieved both SBP and DBP (adjusted hazard ratio [aHR], 1.14; 95% confidence interval [CI], 1.05-1.24) but not in those by the 2017 ACC/AHA definition. Elevated on-treatment DBP by the JNC7 definition was associated with a higher risk of cardiovascular mortality (aHR, 1.42; 95% CI, 1.18-1.70) and stroke (aHR, 1.19; 95% CI, 1.08-1.30). Elevated on-treatment DBP by the 2017 ACC/AHA definition was only associated with stroke (aHR, 1.10; 95% CI, 1.04-1.16). Similar results were seen in the propensity-score-matched cohort. Conclusion: Elevated on-treatment DBP by the JNC7 definition was associated a high risk of major cardiovascular events, while elevated DBP by the 2017 ACC/AHA definition was only associated with a higher risk of stroke. The result of study can provide evidence of DBP targets in subjects who achieved SBP targets.

• Journal of the Korean Society of Radiology
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• v.18 no.4
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• pp.335-344
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• 2024

In this study, we aim to investigate the correlation between the lateral images of Korean skulls and the angle between the OML and the Body of the Mandible. Additionally, we seek to provide criteria for the ease of positioning in clinical settings and establish standardized imaging procedures for the PNS Water's view examination. This study was conducted on a total of 202 patients who visited the radiology department of a general hospital and examined the skull lateral radiography. In addition to the patient images, skull phantoms were also utilized, and images were obtained using GC85A and EOS equipment. In this research, abbreviations related to the angle of the Body of Mandible were defined using PACS on lateral images. Measurements were taken for various angles, including ramus of mandible angle(RIA), accurate OML angle(TIA), OML and IR Angle(OIA), total mandibular length(TML), ramus height(RH), the angle between the pogonion, gonion, and condylion(MA). The validity of these measurements was confirmed using the skull phantom in the study. The age-specific average range for RIA was 22.67° to 26.04°, with measurements of 23.14° for males and 24.78° for females. The age-related mean ranges for TIA and OIA were 35.98° to 38.31° and 72.27° to 75.25°, respectively. For males, TIA was 36.74° and OIA was 72.73°, while for females, TIA was 36.43° and OIA was 73.38°. The age-dependent measurements for TML and RH ranged from 85.73 mm to 89.60 mm and 62.60 mm to 70.87 mm, respectively. Male values were 90.54 mm and 70.78 mm, while female values were 85.13 mm and 61.54 mm for TML and RH, respectively. The age-specific average range for MA was 55.95° to 58.63°, with measurements of 57.96° for males and 57.76° for females. Correlation analysis revealed a positive correlation between RIA and OIA, as well as between RIA and TIA. Based on the results of this study, which indicate a positive correlation between the angle of the Body of Mandible and the OML, it can be inferred that adjusting the mandible vertically to align with the imaging receptor may contribute to more accurate image acquisition during PNS Water's view examination. Therefore, it is believed that there is value in utilizing this relationship as a criterion for establishing new positioning standards, which could enhance the utility of a new positioning guide.

• Journal of Nutrition and Health
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• v.57 no.4
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• pp.418-434
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• 2024

Purpose: The nutritional status of folate in Korean adults was evaluated using the newly established folate database (DB) and data from the 7th Korea National Health and Nutrition Examination Survey. Methods: This study analyzed the folate intake of 15,054 people (6,278 men and 8,776 women) and the relationship with serum folate concentration of 5,260 people (2,272 men and 2,988 women). Results: The average daily folate intake among Korean adults was lowest in the 19 to 29-year age group and highest in those in their 50s. Folate intake was higher in groups with higher education and household income, non-smokers, participants in aerobic physical activity, and dietary supplement users regardless of sex. Among men, office workers consumed more folate than physical workers. Vegetables and grains were the first and second most contributing food groups to folate intake. The serum folate levels were higher in women than men and lowest in the 19-29 year age group for both sexes. After adjusting for energy intake, age, income, smoking, physical activity, and dietary supplement intake, serum folate concentration increased significantly as intake increased (p < 0.001). The explanatory power (R²) of folate intake on the blood folate concentration was 0.183 and 0.141 in men and women, respectively. Conclusion: The proportion of participants consuming less than the estimated average requirement was 48.1% and 65.3% in men and women, respectively. In particular, the folate intake and serum levels of young men aged 19-29 years were the lowest. Therefore, it is necessary to improve their folate nutritional status through a balanced diet. In addition, the newly established folate DB may be useful for evaluating the folate nutritional status of Koreans.

• Journal of Bio-Environment Control
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• v.32 no.4
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• pp.449-455
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• 2023

In this study, the effect of crown heating on the cultivation environment, budding, flowering and yields of strawberry was analyzed. In December, January, and February, when the outside temperature was low, the average strawberry crown temperature at daytime in the test zone was 1.3℃ higher than that in the control zone, and the average strawberry crown temperature at nighttime in the test zone was 2.7℃ higher than that in the control zone. The average bed temperature at daytime in test zone was 1.7℃ higher than that in the control zone, and the average bed temperature at nighttime in test zone was 2.4℃ higher than that in the control zone. As a result of performing correlation analysis and regression analysis on strawberry crown temperature and budding period, the correlation coefficient was -0.86, which tended to be shorter as the crown temperature was higher, and the determination coefficient was 0.74. The total yields of strawberry during test period were 392.6 g/plant for test greenhouse and 346.0 g/plant for control greenhouse respectively. As for the quality of strawberries, the ratio of 2L (very large) grades and L (large) grades was 62.4% in the test greenhouse and 58.5% in the control greenhouse, indicating that the proportion of high quality strawberries was higher in the test greenhouse.

• Journal of Bio-Environment Control
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• v.32 no.4
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• pp.475-483
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• 2023

This study was conducted to determine the optimal irrigation starting point by analyzing tree growth, physiological responses, fruit quality, and productivity in peach orchards. Seven-year-old 'Kawanakajima Hakuto' peach trees were used in an experimental field (35°49'30.4"N, 127°01'33.2"E) located within the National Institute of Horticultural and Herbal Science located in Wanju-gun, Jeollabuk-do. The irrigation starting point was set with four levels of -20, -40, -60, and -80 kPa from June to September 2022. While there were no significant differences in increase of trunk cross-section area and leaf area among treatments, shoot length and diameter decreased in the -80 kPa and -20 kPa treatments. The photosynthetic rate measured in August was highest for -60 kPa (17.7 μmol·m^-2·s^-1), followed by -40 kPa (15.6 μmol·m^-2·s^-1), -20 kPa (14.5 μmol·m^-2·s^-1) and -80 kPa (14.0 μmol·m^-2·s^-1). SPAD value measured in May and August was lower in the -80 kPa and -20 kPa treatments than in the -60 kPa and -40 kPa treatments. The harvest date reached three days earlier in the -20 kPa treatment compared to other treatments. The fruit weight was highest in the -60 kPa (379.1 g), followed by -40 kPa (344.0 g), -80 kPa (321.0 g) and -20 kPa (274.9 g). Firmness was the lowest in the -20 kPa treatment. The soluble solid content was highest in the -60 kPa treatment (13.3°Bx).The ratio of marketable fruits was highest in the -60 kPa treatment (50.7%) and lowest in the -80 kPa treatment (23.4%). In conclusion, we suggest that setting the irrigation starting point at -60 kPa could improve the fruit quality and yield in peach orchards.

• Journal of Bio-Environment Control
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• v.32 no.4
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• pp.501-512
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• 2023

This study aimed to assess and determine the optimal model for predicting the full bloom date of 'Fuji' apples across South Korea. We evaluated the performance of four distinct models: the Development Rate Model (DVR)1, DVR2, the Chill Days (CD) model, and a sequentially integrated approach that combined the Dynamic model (DM) and the Growing Degree Hours (GDH) model. The full bloom dates and air temperatures were collected over a three-year period from six orchards located in the major apple production regions of South Korea: Pocheon, Hwaseong, Geochang, Cheongsong, Gunwi, and Chungju. Among these models, the one that combined DM for calculating chilling accumulation and the GDH model for estimating heat accumulation in sequence demonstrated the most accurate predictive performance, in contrast to the CD model that exhibited the lowest predictive precision. Furthermore, the DVR1 model exhibited an underestimation error at orchard located in Hwaseong. It projected a faster progression of the full bloom dates than the actual observations. This area is characterized by minimal diurnal temperature ranges, where the daily minimum temperature is high and the daily maximum temperature is relatively low. Therefore, to achieve a comprehensive prediction of the blooming date of 'Fuji' apples across South Korea, it is recommended to integrate a DM model for calculating the necessary chilling accumulation to break dormancy with a GDH model for estimating the requisite heat accumulation for flowering after dormancy release. This results in a combined DM+GDH model recognized as the most effective approach. However, further data collection and evaluation from different regions are needed to further refine its accuracy and applicability.

• Journal of Bio-Environment Control
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• v.32 no.4
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• pp.267-277
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• 2023

This study is in order to the effect of 1-methlycyclopropene (1-MCP) treatment and film package as modified atmosphere packaging (MAP) on the changes in fruit quality factors of 'Daehong' peaches during cold storage. The concentrations of 1-MCP were treated at 1µL·L^-1 and 2µL·L^-1, and peaches in film package were stored for 28 days in cold storage at 5±1℃ and 85±5% RH. The fruits stored carton box were used as a control of MAP, and 1-MCP free fruits were used as the control of both packages. Rate of fresh weight loss during storage was not significantly different between groups with and without 1-MCP treatment, but was higher in the box package than in the MAP. The control group had a higher incidence of both gases with the 1-MCP treatment group showing statistically significantly low. Carbon dioxide in the package was lowered by about 12% compared to the non-treated group, and the ethylene concentration was maintained at 1µL·L^-1, showing a significance low compared to other treated groups. As the storage period elapsed, the firmness of 1-MCP and MAP treated fruits remained significant at 5-9% compared to the control group. Regardless of the packaging method Hunter a^* values of exocarp and mesocarp were significantly higher in fruit treated with 1-MCP 1µL·L^-1 treatment than in the control group, and anthocyanin was significantly higher in the fruit during the storage period, especially high in MAP. In summary, fruits of MAP group with 1-MCP 1µL·L^-1 had rate of lower respiration and ethylene production, and little changes in firmness, Hunter a^* values of exo-carp and meso-carp, and anthocyanin, which is considered the most suitable method for preserving postharvest quality of the peach cultivar during the storage.

• Journal of Korean Dental Hygiene Science
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• v.7 no.1
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• pp.1-15
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• 2024

Background: This study aims to determine the association between the number of remaining teeth and oral health-related quality of life according to economic activity status in elderly. Methods: Data from the 9th Korean Longitudinal Study of Ageing (KLoSA) were used to analyze 6,004 older adults aged 59 years and older. The number of remaining teeth was categorized as less than 20 and more than 20, and the Geriatric Oral Health Assessment Index (GOHAI) was used to measured the oral health-related quality of life of the elderly. Independent t-tests were performed to compare demographic, economic, sociodemographic, and health characteristics, as well as GOHAI scores, between economically active and inactive individuals. In the case of ANOVA analysis, Scheffe's post hoc analysis was performed to confirm statistical significance between groups. Linear regression analysis was conducted to determine the influence of the number of remaining teeth on GOHAI according to economic activity status. Results: Among the study population, 33.9% were economically active, which is approximately half the proportion of those were not economically active. The mean GOHAI scores were 43.32 and 40.15 for economically active and economically inactive individuals with 20 or more residual teeth, respectively (p<0.001). Simple linear regression analysis revealed that having more than 20 remaining teeth was associated with a statistically significant increase in GOHAI by approximately 4.56 times and 4.92 times compared to having fewer than 20 teeth for economically active and non-economically active individuals, respectively (p<0.001). Multiple linear regression analysis, adjusted for demographic, economic, sociodemographic, and health characteristics, showed that having more than 20 remaining teeth was associated with a statistically significant increase in GOHAI by approximately 3.62 and 2.97 times compared to having fewer than 20 teeth in economically active and non-economically active individuals, respectively (p<0.001). Conclusion: This study explored economic activity status as one of several approaches to enhance the oral health-related quality of life of the elderly. By using the number of remaining teeth as an indicator of oral health status. supporting economic activity could potentially improve both oral health and overall quality of life for older individuals. Such interventions may have positive effects on policy outcomes, including reducing economic inequality by promoting economic engagement among the elderly.